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Assurance

PASS 包含 50 多个Assurance程序,包括用于比较均值、比例、生存率、负二项式比率和泊松率的Assurance程序。每个程序都易于使用并经过验证以确保准确性。PASS 中的Assurance程序列表如下 Assurance for Two-Sample T-Tests Assuming Equal Variance Assurance for Two-Sample Z-Tests Assuming Equal Variance Assurance for Two-Sample T-Tests Allowing Unequal Variance Assurance for Two-Sample T-Tests for Non-Inferiority Assuming Equal Variance Assurance for Two-Sample T-Tests for Superiority by a Margin Assuming Equal Variance Assurance for Two-Sample T-Tests for Equivalence Assuming Equal Variance Assurance for Two-Sample T-Tests for Non-Inferiority Allowing Unequal Variance Assurance for Two-Sample T-Tests for Superiority by a Margin Allowing Unequal Variance Assurance for Two-Sample T-Tests for Equivalence Allowing Unequal Variance - Assurance for Tests for Two Proportions Assurance for Non-Zero Null Tests for the Difference Between Two Proportions Assurance for Non-Inferiority Tests for the Difference Between Two Proportions Assurance for Superiority by a Margin Tests for the Difference Between Two Proportions Assurance for Equivalence Tests for the Difference Between Two Proportions Assurance for Non-Unity Null Tests for the Ratio of Two Proportions Assurance for Non-Unity Null Tests for the Odds Ratio of Two Proportions Assurance for Superiority by a Margin Tests for the Ratio of Two Proportions Assurance for Non-Inferiority Tests for the Ratio of Two Proportions Assurance for Superiority by a Margin Tests for the Odds Ratio of Two Proportions Assurance for Non-Inferiority Tests for the Odds Ratio of Two Proportions Assurance for Equivalence Tests for the Ratio of Two Proportions Assurance for Equivalence Tests for the Odds Ratio of Two Proportions - Assurance for Logrank Tests (Freedman) Assurance for Tests for Two Survival Curves Using Cox's Proportional Hazards Model Assurance for Non-Inferiority Tests for Two Survival Curves Using Cox's Proportional Hazards Model Assurance for Superiority by a Margin Tests for Two Survival Curves Using Cox's Proportional Hazards Model Assurance for Equivalence Tests for Two Survival Curves Using Cox's Proportional Hazards Model Assurance for Tests for the Difference of Two Hazard Rates Assuming an Exponential Model Assurance for Non-Inferiority Tests for the Difference of Two Hazard Rates Assuming an Exponential Model Assurance for Superiority by a Margin Tests for the Difference of Two Hazard Rates Assuming an Exponential Model Assurance for Equivalence Tests for the Difference of Two Hazard Rates Assuming an Exponential Model - Assurance for Tests for the Ratio of Two Negative Binomial Rates Assurance for Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates Assurance for Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates Assurance for Equivalence Tests for the Ratio of Two Negative Binomial Rates - Assurance for Tests for Two Means in a Cluster-Randomized Design Assurance for Non-Inferiority Tests for Two Means in a Cluster-Randomized Design Assurance for Superiority by a Margin Tests for Two Means in a Cluster-Randomized Design Assurance for Equivalence Tests for Two Means in a Cluster-Randomized Design Assurance for Tests for Two Proportions in a Cluster-Randomized Design Assurance for Non-Zero Null Tests for the Difference of Two Proportions in a Cluster-Randomized Design Assurance for Non-Inferiority Tests for the Difference of Two Proportions in a Cluster-Randomized Design Assurance for Superiority by a Margin Tests for the Difference of Two Proportions in a Cluster-Randomized Design Assurance for Equivalence Tests for the Difference of Two Proportions in a Cluster-Randomized Design Assurance for Logrank Tests in a Cluster-Randomized Design - Assurance for Tests for the Difference Between Two Poisson Rates Assurance for Tests for the Ratio of Two Poisson Rates Assurance for Non-Inferiority Tests for the Ratio of Two Poisson Rates Assurance for Superiority by a Margin Tests for the Ratio of Two Poisson Rates Assurance for Equivalence Tests for the Ratio of Two Poisson Rates - Assurance for Non-Inferiority Tests for Vaccine Efficacy using the Ratio of Two Proportions Assurance for Superiority by a Margin Tests for Vaccine Efficacy using the Ratio of Two Proportions

Bland-Altman Method

Bland-Altman Method for Assessing Agreement in Method Comparison Studies

Bridging Studies

Bridging Study using the Equivalence Test of Two Groups (Continuous Outcome) Bridging Study using a Non-Inferiority Test of Two Groups (Continuous Outcome) Bridging Study using the Equivalence Test of Two Groups (Binary Outcome) Bridging Study using a Non-Inferiority Test of Two Groups (Binary Outcome) Bridging Study Sensitivity Index Bridging Study Test of Sensitivity using a Two-Group T-Test (Continuous Outcome)

Cluster-Randomized Designs

Tests for Two Means from a Cluster-Randomized Design Tests for Two Means in a Stepped-Wedge Cluster-Randomized Design - Complete Design Tests for Two Means in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom) Tests for the Matched-Pair Difference of Two Means in a Cluster-Randomized Design Non-Inferiority Tests for Two Means in a Cluster-Randomized Design Equivalence Tests for Two Means in a Cluster-Randomized Design Superiority by a Margin Tests for Two Means in a Cluster-Randomized Design Tests for the Difference Between Two Poisson Rates in a Cluster-Randomized Design Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Complete Design Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom) Tests for the Matched-Pair Difference of Two Event Rates in a Cluster-Randomized Design Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled) Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled) Tests for Two Proportions in a Cluster-Randomized Design – Likelihood Score Test Tests for Two Proportions in a Cluster-Randomized Design using Proportions Tests for Two Proportions in a Cluster-Randomized Design using Differences Tests for Two Proportions in a Cluster-Randomized Design using Ratios Tests for Two Proportions in a Stepped-Wedge Cluster-Randomized Design - Complete Design Tests for Two Proportions in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom) Tests for the Matched-Pair Difference of Two Proportions in a Cluster-Randomized Design Equivalence Tests of Two Proportions in a Cluster-Randomized Design – Z Test (Pooled) Equivalence Tests of Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled) Equivalence Tests of Two Proportions in a Cluster-Randomized Design – Likelihood Score Test Equivalence Tests of Two Proportions in a Cluster-Randomized Design using Proportions Equivalence Tests of Two Proportions in a Cluster-Randomized Design using Differences Equivalence Tests of Two Proportions in a Cluster-Randomized Design using Ratios Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design – Z Test (Pooled) Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled) Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design – Likelihood Score Test Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design using Proportions Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design using Differences Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design using Ratios Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled) Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled) Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled) Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design using Proportions Superiority by a Margin Tests for the Difference of Two Proportions in a Cluster-Randomized Design Superiority by a Margin Tests for the Ratio of Two Proportions in a Cluster-Randomized Design GEE Tests for Two Means in a Stratified Cluster-Randomized Design GEE Tests for Two Means in a Cluster-Randomized Design GEE Tests for Multiple Means in a Cluster-Randomized Design GEE Tests for Multiple Proportions in a Cluster-Randomized Design GEE Tests for Multiple Poisson Rates in a Cluster-Randomized Design Tests for Two Proportions in a Stratified Cluster-Randomized Design (Cochran-Mantel-Haenszel Test) Tests for the Difference Between Two Poisson Rates in a Cluster-Randomized Design with Adjustment for Varying Cluster Sizes Mixed Models Tests for Two Means in a Cluster-Randomized Design Multi-Arm Tests for Treatment and Control Proportions in a Cluster-Randomized Design Multi-Arm, Non-Inferiority Tests for Treatment and Control Proportions in a Cluster-Randomized Design Multi-Arm Tests for Treatment and Control Means in a Cluster-Randomized Design Multi-Arm, Non-Inferiority Tests for Treatment and Control Means in a Cluster-Randomized Design

Conditional Power

Conditional Power of One-Sample T-Tests Conditional Power of Two-Sample T-Tests Conditional Power of Two-Sample T-Tests – Unequal n’s Conditional Power of Paired T-Tests Conditional Power of 2x2 Cross-Over Designs Conditional Power of Logrank Tests Conditional Power of One-Proportion Tests Conditional Power of Two-Proportions Tests Conditional Power of Two-Proportions Tests – Unequal n’s Conditional Power of Two-Sample T-Tests for Non-Inferiority Conditional Power of Two-Sample T-Tests for Superiority by a Margin Conditional Power of Non-Inferiority Tests for the Difference Between Two Proportions Conditional Power of Superiority by a Margin Tests for the Difference Between Two Proportions Conditional Power of Non-Inferiority Logrank Tests Conditional Power of Superiority by a Margin Logrank Tests Conditional Power of Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design Conditional Power of Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design Conditional Power of One-Sample T-Tests for Non-Inferiority Conditional Power of One-Sample T-Tests for Superiority by a Margin Conditional Power of Paired T-Tests for Non-Inferiority Conditional Power of Paired T-Tests for Superiority by a Margin Conditional Power of Non-Inferiority Tests for One Proportion Conditional Power of Superiority by a Margin Tests for One Proportion

Confidence Intervals

Confidence Intervals for Pearson’s Correlation Confidence Intervals for Spearman’s Rank Correlation Confidence Intervals for Kendall’s Tau-b Correlation Confidence Intervals for Point Biserial Correlation Confidence Intervals for Intraclass Correlation Confidence Intervals for Coefficient Alpha Confidence Intervals for Kappa Confidence Intervals for One Mean with Known Standard Deviation Confidence Intervals for One Mean with Sample Standard Deviation Confidence Intervals for One Mean with Tolerance Probability with Known Standard Deviation Confidence Intervals for One Mean with Tolerance Probability with Sample Standard Deviation Confidence Intervals for One Mean in a Stratified Design Confidence Intervals for One Mean in a Cluster-Randomized Design Confidence Intervals for One Mean in a Stratified Cluster-Randomized Design Confidence Intervals for the Difference between Two Means Assuming Equal Standard Deviations Confidence Intervals for the Difference between Two Means Assuming Unequal Standard Deviations Confidence Intervals for the Difference between Two Means with Tolerance Probability with Known Standard Deviation Confidence Intervals for the Difference between Two Means with Tolerance Probability with Sample Standard Deviation Confidence Intervals for Paired Means with Known Standard Deviation Confidence Intervals for Paired Means with Sample Standard Deviation Confidence Intervals for Paired Means with Tolerance Probability with Known Standard Deviation Confidence Intervals for Paired Means with Tolerance Probability with Sample Standard Deviation Confidence Intervals for One-Way Repeated Measures Contrasts Confidence Intervals for One Proportion – Exact (Clopper-Pearson) Confidence Intervals for One Proportion – Score (Wilson) Confidence Intervals for One Proportion – Score (Continuity Correction) Confidence Intervals for One Proportion – Simple Asymptotic Confidence Intervals for One Proportion – Simple Asymptotic (Continuity Correction) Confidence Intervals for One Proportion from a Finite Population Confidence Intervals for One Proportion in a Stratified Design Confidence Intervals for One Proportion in a Cluster-Randomized Design Confidence Intervals for One Proportion in a Stratified Cluster-Randomized Design Confidence Intervals for One-Sample Sensitivity Confidence Intervals for One-Sample Specificity Confidence Intervals for One-Sample Sensitivity and Specificity Confidence Intervals for Two Proportions – Score (Farrington & Manning) Confidence Intervals for Two Proportions – Score (Farrington & Manning) – Unequal n’s Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen)* Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen) – Unequal n’s Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam) Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam) – Unequal n’s Confidence Intervals for Two Proportions – Score (Wilson) Confidence Intervals for Two Proportions – Score (Wilson) – Unequal n’s Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson) Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson) – Unequal n’s Confidence Intervals for Two Proportions – Chi-Square with Continuity Correction (Yates) Confidence Intervals for Two Proportions – Chi-Square with Continuity Correction (Yates) – Unequal n’s Confidence Intervals for Two Proportions – Chi-Square (Pearson) Confidence Intervals for Two Proportions – Chi-Square (Pearson) – Unequal n’s Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning) Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning) – Unequal n’s Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen) Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen) – Unequal n’s Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam) Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam) – Unequal n’s Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz) Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz) – Unequal n’s Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter) Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter) – Unequal n’s Confidence Intervals for Two Proportions using Ratios – Fleiss Confidence Intervals for Two Proportions using Ratios – Fleiss – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional) Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional) – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning) Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning) – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen) Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen) – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Fleiss Confidence Intervals for Two Proportions using Odds Ratios – Fleiss – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Logarithm Confidence Intervals for Two Proportions using Odds Ratios – Logarithm – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Mantel-Haenszel Confidence Intervals for Two Proportions using Odds Ratios – Mantel-Haenszel – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Simple Confidence Intervals for Two Proportions using Odds Ratios – Simple – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2 Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2 – Unequal n’s Confidence Intervals for the Odds Ratio in a Logistic Regression with One Binary Covariate Confidence Intervals for the Odds Ratio in a Logistic Regression with Two Binary Covariates Confidence Intervals for the Interaction Odds Ratio in a Logistic Regression with Two Binary Covariates Confidence Intervals for Linear Regression Slope Confidence Intervals for Michaelis-Menten Parameters Confidence Intervals for One Standard Deviation using Standard Deviation Confidence Intervals for One Standard Deviation using Relative Error Confidence Intervals for One Standard Deviation with Tolerance Probability – Known Standard Deviation Confidence Intervals for One Standard Deviation with Tolerance Probability – Sample Standard Deviation Confidence Intervals for One Variance using Variance Confidence Intervals for One Variance using Relative Error Confidence Intervals for One Variance with Tolerance Probability – Known Variance Confidence Intervals for One Variance with Tolerance Probability – Sample Variance Confidence Intervals for the Ratio of Two Variances using Variances Confidence Intervals for the Ratio of Two Variances using Variances – Unequal n’s Confidence Intervals for the Ratio of Two Variances using Relative Error Confidence Intervals for the Ratio of Two Variances using Relative Error – Unequal n’s Confidence Intervals for the Exponential Lifetime Mean Confidence Intervals for the Exponential Hazard Rate Confidence Intervals for an Exponential Lifetime Percentile Confidence Intervals for Exponential Reliability Confidence Intervals for a Percentile of a Normal Distribution Confidence Intervals for the Area Under an ROC Curve Confidence Intervals for the Area Under an ROC Curve – Unequal n’s

Correlation

Tests for Two Correlations Tests for Two Correlations – Unequal n’s Pearson’s Correlation Tests Pearson’s Correlation Tests with Simulation Spearman’s Rank Correlation Tests with Simulation Kendall’s Tau-b Correlation Tests with Simulation Point Biserial Correlation Tests Power Comparison of Correlation Tests with Simulation Confidence Intervals for Spearman’s Rank Correlation Confidence Intervals for Kendall’s Tau-b Correlation Confidence Intervals for Point Biserial Correlation Tests for One Coefficient (or Cronbach's) Alpha Tests for Two Coefficient (or Cronbach's) Alphas Tests for Two Coefficient (or Cronbach's) Alphas – Unequal n’s Confidence Intervals for Coefficient (or Cronbach's) Alpha Tests for Intraclass Correlation Confidence Intervals for Intraclass Correlation Kappa Test for Agreement Between Two Raters Confidence Intervals for Kappa Lin's Concordance Correlation Coefficient

Cross-Over Designs

Tests for Two Means in a 2x2 Cross-Over Design using Differences Tests for Two Means in a 2x2 Cross-Over Design using Ratios Tests for the Difference of Two Means in a Higher-Order Cross-Over Design Tests for the Ratio of Two Means in a Higher-Order Cross-Over Design M x M Cross-Over Designs M-Period Cross-Over Designs using Contrasts Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Differences Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Ratios Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Differences Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Ratios Equivalence Tests for Two Means in a 2x2 Cross-Over Design using Differences Equivalence Tests for Two Means in a 2x2 Cross-Over Design using Ratios Equivalence Tests for Two Means in a Higher-Order Cross-Over Design using Differences Equivalence Tests for Two Means in a Higher-Order Cross-Over Design using Ratios Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Differences Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Ratios Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Differences Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Ratios Conditional Power of 2x2 Cross-Over Designs Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design Non-Inferiority Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design Superiority by a Margin Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design Equivalence Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design Non-Inferiority Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design Superiority by a Margin Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design Equivalence Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design Non-Inferiority Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design Superiority by a Margin Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design Equivalence Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design Non-Inferiority Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design Superiority by a Margin Tests for the Gen. Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design Equivalence Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design Tests for Pairwise Proportion Differences in a Williams Cross-Over Design Non-Inferiority Tests for Pairwise Proportion Differences in a Williams Cross-Over Design Superiority by a Margin Tests for Pairwise Proportion Differences in a Williams Cross-Over Design Equivalence Tests for Pairwise Proportion Differences in a Williams Cross-Over Design Tests for Pairwise Mean Differences in a Williams Cross-Over Design Non-Inferiority Tests for Pairwise Mean Differences in a Williams Cross-Over Design Superiority by a Margin Tests for Pairwise Mean Differences in a Williams Cross-Over Design Equivalence Tests for Pairwise Mean Differences in a Williams Cross-Over Design Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design Non-Unity Null Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design Non-Inferiority Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design Superiority by a Margin Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design Non-Unity Null Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design Non-Inferiority Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design Superiority by a Margin Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design Tests for Two Total Variances in a 2×2 Cross-Over Design Non-Unity Null Tests for Two Total Variances in a 2×2 Cross-Over Design Non-Inferiority Tests for Two Total Variances in a 2×2 Cross-Over Design Superiority by a Margin Tests for Two Total Variances in a 2×2 Cross-Over Design Bioequivalence Tests for AUC and Cmax in a 2x2 Cross-Over Design (Log-Normal Data)

Equivalence

Equivalence Tests for Paired Means (Simulation) – T-Test Equivalence Tests for Paired Means (Simulation) – Wilcoxon Test Equivalence Tests for Paired Means (Simulation) – Sign Test Equivalence Tests for Paired Means (Simulation) – Bootstrap Equivalence Tests for Two Means using Differences Equivalence Tests for Two Means using Differences – Unequal n’s Equivalence Tests for Two Means using Ratios Equivalence Tests for the Ratio of Two Poisson Rates Equivalence Tests for the Ratio of Two Poisson Rates – Unequal n’s Equivalence Tests for the Ratio of Two Negative Binomial Rates Equivalence Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s Equivalence Tests for the Difference Between Two Paired Means Equivalence Tests for Two Means using Ratios – Unequal n’s Equivalence Tests for Two Means (Simulation) – T-Test Equivalence Tests for Two Means (Simulation) – T-Test – Unequal n’s Equivalence Tests for Two Means (Simulation) – Welch Test Equivalence Tests for Two Means (Simulation) – Welch Test – Unequal n’s Equivalence Tests for Two Means (Simulation) – Trim T-Test Equivalence Tests for Two Means (Simulation) – Trim T-Test – Unequal n’s Equivalence Tests for Two Means (Simulation) – Trim Welch Test Equivalence Tests for Two Means (Simulation) – Trim Welch Test – Unequal n’s Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test – Unequal n’s Equivalence Tests for Two Means in a 2x2 Cross-Over Design Equivalence Tests for Two Means in a 2x2 Cross-Over Design using Ratios Equivalence Tests for Two Means in a Higher-Order Cross-Over Design Equivalence Tests for Two Means in a Higher-Order Cross-Over Design using Ratios Equivalence Tests for Two Means in a Cluster-Randomized Design Equivalence Tests for One Proportion – Exact Test Equivalence Tests for One Proportion – Z Test using S(P0) Equivalence Tests for One Proportion – Z Test using S(P0) with Continuity Correction Equivalence Tests for One Proportion – Z Test using S(Phat) Equivalence Tests for One Proportion – Z Test using S(Phat) with Continuity Correction Equivalence Tests for Two Proportions – Z Test (Pooled) Equivalence Tests for Two Proportions – Z Test (Pooled) – Unequal n’s Equivalence Tests for Two Proportions – Z Test (Unpooled) Equivalence Tests for Two Proportions – Z Test (Unpooled) – Unequal n’s Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction – Unequal n’s Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction – Unequal n’s Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning) Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam) Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s Equivalence Tests for Two Correlated Proportions Equivalence Tests for Two Correlated Proportions using Ratios Equivalence Tests for Two Proportions in a Cluster-Randomized Design Equivalence Tests for Two Proportions in a Cluster-Randomized Design – Unequal n’s Equivalence Tests for Two Proportions in a Cluster-Randomized Design using Ratios Equivalence Tests for Two Proportions in a Cluster-Randomized Design using Ratios – Unequal n’s Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s Equivalence Tests for the Difference of Two Hazard Rates Assuming an Exponential Model Equivalence Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s Equivalence Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design Equivalence Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design Equivalence Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design Equivalence Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design Equivalence Tests for Pairwise Proportion Differences in a Williams Cross-Over Design Equivalence Tests for Pairwise Mean Differences in a Williams Cross-Over Design Equivalence Tests for Simple Linear Regression Equivalence Tests for the Ratio of Two Within-Subject Variances in a Parallel Design Equivalence Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design Equivalence Tests for the Difference of Two Within-Subject CV's in a Parallel Design Equivalence Tests for the Ratio of Two Variances One-Sample Z-Tests for Equivalence Paired Z-Tests for Equivalence Two-Sample T-Tests for Equivalence Allowing Unequal Variance Bioequivalence Tests for AUC and Cmax in a 2x2 Cross-Over Design (Log-Normal Data) Multi-Arm, Equivalence Tests of the Difference Between Treatment and Control Proportions Multi-Arm, Equivalence Tests of the Ratio of Treatment and Control Proportions Multi-Arm, Equivalence Tests of the Odds Ratio of Treatment and Control Proportions Multi-Arm, Equivalence Tests of the Difference Between Treatment and Control Means Assuming Equal Variance Multi-Arm, Equivalence Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variance Multi-Arm, Equivalence Tests of the Ratio of Treatment and Control Means Assuming Log-Normal Data Multi-Arm, Equivalence Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances Multi-Arm, Equivalence Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model

Exponential Distribution Parameter Confidence Intervals

Confidence Intervals for the Exponential Lifetime Mean Confidence Intervals for an Exponential Lifetime Percentile Confidence Intervals for Exponential Reliability Confidence Intervals for the Exponential Hazard Rate

Group-Sequential Tests

Group-Sequential Tests for One Mean with Known Variance (Simulation) Group-Sequential T-Tests for One Mean (Simulation) Group-Sequential Tests for Two Means with Known Variances (Simulation) Group-Sequential T-Tests for Two Means (Simulation) Group-Sequential Tests for Two Proportions (Simulation) Group-Sequential Tests for Two Means Group-Sequential Tests for Two Means – Unequal n’s Group-Sequential Tests for Two Means (Simulation) Assuming Normality Group-Sequential Tests for Two Means (Simulation) Assuming Normality – Unequal n’s Group-Sequential Tests for Two Means (Simulation) General Assumptions Group-Sequential Tests for Two Means (Simulation) General Assumptions – Unequal n’s Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Means Group-Sequential Non-Inferiority Tests for Two Means – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation) Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation) Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation) – Unequal n’s Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation) Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation) – Unequal n’s Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation) Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation) – Unequal n’s Group-Sequential Tests for One Proportion in a Fleming Design Group-Sequential Tests for Two Proportions Group-Sequential Tests for Two Proportions – Unequal n’s Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s Group-Sequential Tests for Two Proportions (Simulation) – Mantel-Haenszel Group-Sequential Tests for Two Proportions (Simulation) – Mantel-Haenszel – Unequal n’s Group-Sequential Tests for Two Proportions (Simulation) – Fisher’s Exact Group-Sequential Tests for Two Proportions (Simulation) – Fisher’s Exact – Unequal n’s Group-Sequential Tests for Two Proportions using Differences (Simulation) Group-Sequential Tests for Two Proportions using Ratios (Simulation) Group-Sequential Tests for Two Proportions using Odds Ratios (Simulation) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions using Differences (Simulation) Group-Sequential Non-Inferiority Tests for Two Proportions using Ratios (Simulation) Group-Sequential Non-Inferiority Tests for Two Proportions using Odds Ratios (Simulation) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions using Differences (Simulation) Group-Sequential Superiority by a Margin Tests for Two Proportions using Ratios (Simulation) Group-Sequential Superiority by a Margin Tests for Two Proportions using Odds Ratios (Simulation) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Unequal n’s Group-Sequential Logrank Tests of Two Survival Curves assuming Exponential Survival Group-Sequential Logrank Tests of Two Survival Curves assuming Proportional Hazards Group-Sequential Logrank Tests (Simulation) Group-Sequential Logrank Tests (Simulation) – Unequal n’s Group-Sequential Logrank Tests (Simulation) – Gehan-Wilcoxon Group-Sequential Logrank Tests (Simulation) – Gehan-Wilcoxon – Unequal n’s Group-Sequential Logrank Tests (Simulation) – Tarone-Ware Group-Sequential Logrank Tests (Simulation) – Tarone-Ware – Unequal n’s Group-Sequential Logrank Tests (Simulation) – Peto-Peto Group-Sequential Logrank Tests (Simulation) – Peto-Peto – Unequal n’s Group-Sequential Logrank Tests (Simulation) – Modified Peto-Peto Group-Sequential Logrank Tests (Simulation) – Modified Peto-Peto – Unequal n’s Group-Sequential Logrank Tests (Simulation) – Fleming-Harrington Custom Parameters Group-Sequential Logrank Tests (Simulation) – Fleming-Harrington Custom Parameters – Unequal n’s Group-Sequential Logrank Tests using Hazard Rates (Simulation) Group-Sequential Logrank Tests using Median Survival Times (Simulation) Group-Sequential Logrank Tests using Proportion Surviving (Simulation) Group-Sequential Logrank Tests using Mortality (Simulation) Group-Sequential Tests for Two Hazard Rates (Simulation) Group-Sequential Tests for Two Hazard Rates (Simulation) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation) Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation) Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation) – Unequal n’s Group-Sequential Tests for One Hazard Rate (Simulation) Group-Sequential Non-Inferiority Tests for One Hazard Rate (Simulation) Group-Sequential Superiority by a Margin Tests for One Hazard Rate (Simulation) Group-Sequential Tests for Two Poisson Rates (Simulation) Group-Sequential Non-Inferiority Tests for Two Poisson Rates (Simulation) Group-Sequential Superiority by a Margin Tests for Two Poisson Rates (Simulation) Group-Sequential Tests for One Poisson Rate (Simulation) Group-Sequential Non-Inferiority Tests for One Poisson Rate (Simulation) Group-Sequential Superiority by a Margin Tests for One Poisson Rate (Simulation)

Means - One

Tests for One Mean – T-Test Tests for One Mean – Z-Test Tests for One Mean – Wilcoxon Nonparametric Adjustment Tests for One Mean – (Simulation) – T-Test Tests for One Mean – (Simulation) – Wilcoxon Test Tests for One Mean – (Simulation) – Sign Test Tests for One Mean – (Simulation) – Bootstrap Test Tests for One Mean – (Simulation) – Exponential Mean Test Tests for One Exponential Mean with Replacement Tests for One Exponential Mean without Replacement Tests for One Mean using Effect Size Tests for One Poisson Mean Confidence Intervals for One Mean Confidence Intervals for One Mean – Known Standard Deviation Confidence Intervals for One Mean with Tolerance Probability Confidence Intervals for One Mean with Tolerance Probability – Known Standard Deviation Confidence Intervals for One Mean in a Stratified Design Confidence Intervals for One Mean in a Cluster-Randomized Design Confidence Intervals for One Mean in a Stratified Cluster-Randomized Design Non-Inferiority Tests for One Mean Superiority by a Margin Tests for One Mean Multiple One-Sample T-Tests – False Discovery Rate Multiple One-Sample Z-Tests – False Discovery Rate Multiple One-Sample T-Tests – Experiment-wise Error Rate Multiple One-Sample Z-Tests – Experiment-wise Error Rate Conditional Power of One-Sample T-Tests Hotelling’s One-Sample T2 Conditional Power of One-Sample T-Tests for Non-Inferiority Conditional Power of One-Sample T-Tests for Superiority by a Margin One-Sample T-Tests One-Sample Z-Tests One-Sample Z-Tests for Non-Inferiority One-Sample Z-Tests for Superiority by a Margin One-Sample Z-Tests for Equivalence Wilcoxon Signed-Rank Tests Wilcoxon Signed-Rank Tests for Non-Inferiority Wilcoxon Signed-Rank Tests for Superiority by a Margin Group-Sequential Tests for One Mean with Known Variance (Simulation) Group-Sequential T-Tests for One Mean (Simulation)

Means - Two Correlated or Paired

Tests for Paired Means – T-Test Tests for Paired Means – Z-Test Tests for Paired Means (Simulation) – T-Test Tests for Paired Means (Simulation) – Wilcoxon Test Tests for Paired Means (Simulation) – Sign Test Tests for Paired Means (Simulation) – Bootstrap Test Tests for Paired Means using Effect Size Tests for the Matched-Pair Difference of Two Means in a Cluster-Randomized Design Tests for the Matched-Pair Difference of Two Event Rates in a Cluster-Randomized Design Confidence Intervals for Paired Means with Known Standard Deviation Confidence Intervals for Paired Means with Sample Standard Deviation Confidence Intervals for Paired Means with Tolerance Probability with Known Standard Deviation Confidence Intervals for Paired Means with Tolerance Probability with Sample Standard Deviation Superiority by a Margin Tests for Paired Means Equivalence Tests for Paired Means Non-Inferiority Tests for Paired Means Multiple Paired T-Tests Conditional Power of Paired T-Tests Paired T-Tests Paired T-Tests for Non-Inferiority Paired T-Tests for Superiority by a Margin Paired Z-Tests Paired Z-Tests for Non-Inferiority Paired Z-Tests for Superiority by a Margin Paired Z-Tests for Equivalence Paired Wilcoxon Signed-Rank Tests Paired Wilcoxon Signed-Rank Tests for Non-Inferiority Paired Wilcoxon Signed-Rank Tests for Superiority by a Margin Conditional Power of Paired T-Tests for Non-Inferiority Conditional Power of Paired T-Tests for Superiority by a Margin

Means - Two Independent

Two-Sample T-Tests Assuming Equal Variances Two-Sample T-Tests Assuming Equal Variances – Unequal n’s Two-Sample T-Tests Allowing Unequal Variances Two-Sample T-Tests Allowing Unequal Variances – Unequal n’s Tests for Two Means (Simulation) – T-Test Tests for Two Means (Simulation) – T-Test – Unequal n’s Tests for Two Means (Simulation) – Welch’s T-Test Tests for Two Means (Simulation) – Welch’s T-Test – Unequal n’s Tests for Two Means (Simulation) – Trimmed T-Test Tests for Two Means (Simulation) – Trimmed T-Test – Unequal n’s Tests for Two Means (Simulation) – Trimmed Welch’s T-Test Tests for Two Means (Simulation) – Trimmed Welch’s T-Test – Unequal n’s Two-Sample T-Tests using Effect Size Two-Sample T-Tests using Effect Size – Unequal n’s Mann-Whitney-Wilcoxon Tests (Simulation) Mann-Whitney-Wilcoxon Tests (Simulation) – Unequal n’s Two-Sample Z-Tests Assuming Equal Variances Two-Sample Z-Tests Assuming Equal Variances – Unequal n’s Two-Sample Z-Tests Allowing Unequal Variances Two-Sample Z-Tests Allowing Unequal Variances – Unequal n’s Tests for Two Means using Ratios Tests for Two Means using Ratios – Unequal n’s Tests for Two Exponential Means Tests for Two Exponential Means – Unequal n’s Tests for Two Poisson Means – MLE Tests for Two Poisson Means – MLE – Unequal n’s Tests for Two Poisson Means – CMLE Tests for Two Poisson Means – CMLE – Unequal n’s Tests for Two Poisson Means – Ln(MLE) Tests for Two Poisson Means – Ln(MLE) – Unequal n’s Tests for Two Poisson Means – Ln(CMLE) Tests for Two Poisson Means – Ln(CMLE) – Unequal n’s Tests for Two Poisson Means – Variance Stabilized Tests for Two Poisson Means – Variance Stabilized – Unequal n’s Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Complete Design Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom) Confidence Intervals for the Difference between Two Means Assuming Equal Standard Deviations Confidence Intervals for the Difference between Two Means Assuming Equal Standard Deviations – Unequal n’s Confidence Intervals for the Difference between Two Means Assuming Unequal Standard Deviations Confidence Intervals for the Difference between Two Means Assuming Unequal Standard Deviations – Unequal n’s Confidence Intervals for the Difference between Two Means with Tolerance Probability with Known Standard Deviation Confidence Intervals for the Difference between Two Means with Tolerance Probability with Known Standard Deviation – Unequal n’s Confidence Intervals for the Difference between Two Means with Tolerance Probability with Sample Standard Deviation Confidence Intervals for the Difference between Two Means with Tolerance Probability with Sample Standard Deviation – Unequal n’s Non-Inferiority Tests for Two Means using Differences Non-Inferiority Tests for Two Means using Differences – Unequal n’s Non-Inferiority Tests for Two Means using Ratios Non-Inferiority Tests for Two Means using Ratios – Unequal n’s Non-Inferiority Tests for the Ratio of Two Poisson Rates Non-Inferiority Tests for the Ratio of Two Poisson Rates – Unequal n’s Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s Non-Inferiority Tests for Two Means in a Cluster-Randomized Design Group-Sequential Tests for Two Means Group-Sequential Tests for Two Means – Unequal n’s Group-Sequential Tests for Two Means (Simulation) Assuming Normality Group-Sequential Tests for Two Means (Simulation) Assuming Normality – Unequal n’s Group-Sequential Tests for Two Means (Simulation) General Assumptions Group-Sequential Tests for Two Means (Simulation) General Assumptions – Unequal n’s Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Means Group-Sequential Non-Inferiority Tests for Two Means – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation) Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation) Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation) – Unequal n’s Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation) Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation) – Unequal n’s Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation) Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation) – Unequal n’s Equivalence Tests for Two Means using Differences Equivalence Tests for Two Means using Differences – Unequal n’s Equivalence Tests for Two Means using Ratios Equivalence Tests for the Ratio of Two Poisson Rates Equivalence Tests for the Ratio of Two Poisson Rates – Unequal n’s Equivalence Tests for the Ratio of Two Negative Binomial Rates Equivalence Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s Equivalence Tests for Two Means in a Cluster-Randomized Design Equivalence Tests for the Ratio of Two Means (Normal Data) Equivalence Tests for Two Means using Ratios – Unequal n’s Equivalence Tests for Two Means (Simulation) – T-Test Equivalence Tests for Two Means (Simulation) – T-Test – Unequal n’s Equivalence Tests for Two Means (Simulation) – Welch Test Equivalence Tests for Two Means (Simulation) – Welch Test – Unequal n’s Equivalence Tests for Two Means (Simulation) – Trim T-Test Equivalence Tests for Two Means (Simulation) – Trim T-Test – Unequal n’s Equivalence Tests for Two Means (Simulation) – Trim Welch Test Equivalence Tests for Two Means (Simulation) – Trim Welch Test – Unequal n’s Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test – Unequal n’s Superiority by a Margin Tests for Two Means using Differences Superiority by a Margin Tests for Two Means using Differences – Unequal n’s Superiority by a Margin Tests for Two Means using Ratios Superiority by a Margin Tests for Two Means using Ratios – Unequal n’s Superiority by a Margin Tests for the Ratio of Two Poisson Rates Superiority by a Margin Tests for the Ratio of Two Poisson Rates – Unequal n’s Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s Superiority by a Margin Tests for Two Means in a Cluster-Randomized Design Tests for Two Means from a Cluster-Randomized Design Tests for Two Means from a Cluster-Randomized Design – Unequal n’s Tests for Two Means in a Stepped-Wedge Cluster-Randomized Design - Complete Design Tests for Two Means in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom) Tests for Two Means in a Multicenter Randomized Design Multiple Two-Sample T-Tests – False-Discovery Rate Multiple Two-Sample T-Tests – False-Discovery Rate – Unequal n’s Multiple Two-Sample T-Tests – Experiment-wise Error Rate Multiple Two-Sample T-Tests – Experiment-wise Error Rate – Unequal n’s Tests for Two Means from a Repeated Measures Design Tests for Two Means from a Repeated Measures Design – Unequal n’s Tests for Two Groups of Pre-Post Scores Tests for Two Groups of Pre-Post Scores – Unequal n’s Conditional Power of Two-Sample T-Tests Conditional Power of Two-Sample T-Tests – Unequal n’s Hotelling's Two-Sample T-Squared Hotelling's Two-Sample T-Squared – Unequal n’s Tests for Fold Change of Two Means GEE Tests for the Slope of Two Groups in a Repeated Measures Design (Continuous Outcome) GEE Tests for the TAD of Two Groups in a Repeated Measures Design (Continuous Outcome) Mixed Models Tests for Two Means in a 2-Level Hierarchical Design (Level-2 Randomization) Mixed Models Tests for Two Means in a 2-Level Hierarchical Design (Level-1 Randomization) Mixed Models Tests for the Slope Difference in a 2-Level Hierarchical Design with Fixed Slopes Mixed Models Tests for the Slope Difference in a 2-Level Hierarchical Design with Random Slopes Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-3 Randomization) Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-2 Randomization) Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-1 Randomization) Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Fixed Slopes (Level-2 Rand.) Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Random Slopes (Level-2 Rand.) Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Fixed Slopes (Level-3 Rand.) Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Random Slopes (Level-3 Rand.) Group-Sequential Tests for Two Means with Known Variances (Simulation) Group-Sequential T-Tests for Two Means (Simulation) Conditional Power of Two-Sample T-Tests for Non-Inferiority Conditional Power of Two-Sample T-Tests for Superiority by a Margin Mixed Models Tests for Two Means at the End of Follow-Up in a 3-Level Hierarchical Design (Level-3 Randomization) Mixed Models Tests for Two Means at the End of Follow-Up in a 2-Level Hierarchical Design Two-Sample T-Tests for Non-Inferiority Assuming Equal Variance Two-Sample T-Tests for Non-Inferiority Allowing Unequal Variance Two-Sample T-Tests for Superiority by a Margin Assuming Equal Variance Two-Sample T-Tests for Superiority by a Margin Allowing Unequal Variance Two-Sample T-Tests for Equivalence Allowing Unequal Variance Mann-Whitney U or Wilcoxon Rank-Sum Tests Mann-Whitney U or Wilcoxon Rank-Sum Tests for Non-Inferiority Mann-Whitney U or Wilcoxon Rank-Sum Tests for Superiority by a Margin GEE Tests for Two Means in a Stratified Cluster-Randomized Design GEE Tests for Two Means in a Cluster-Randomized Design Tests for Two Means in a Split-Mouth Design Mixed Models Tests for Two Means in a Cluster-Randomized Design

Means - 2x2 Cross-Over Designs

Tests for Two Means in a 2x2 Cross-Over Design using Differences Tests for Two Means in a 2x2 Cross-Over Design using Ratios Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Differences Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Ratios Equivalence Tests for Two Means in a 2x2 Cross-Over Design using Differences Equivalence Tests for Two Means in a 2x2 Cross-Over Design using Ratios Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Differences Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Ratios Conditional Power of 2x2 Cross-Over Designs Conditional Power of Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design Conditional Power of Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design

Means - Higher-Order Cross-Over Designs

Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Differences Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Ratios Equivalence Tests for Two Means in a Higher-Order Cross-Over Design using Differences Equivalence Tests for Two Means in a Higher-Order Cross-Over Design using Ratios Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Differences Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Ratios Tests for the Difference of Two Means in a Higher-Order Cross-Over Design Tests for the Ratio of Two Means in a Higher-Order Cross-Over Design M x M Cross-Over Designs M-Period Cross-Over Designs using Contrasts Tests for Pairwise Mean Differences in a Williams Cross-Over Design Non-Inferiority Tests for Pairwise Mean Differences in a Williams Cross-Over Design Superiority by a Margin Tests for Pairwise Mean Differences in a Williams Cross-Over Design Equivalence Tests for Pairwise Mean Differences in a Williams Cross-Over Design

Means - Many (ANOVA)

One-Way Analysis of Variance One-Way Analysis of Variance – Unequal n’s One-Way Analysis of Variance F-Tests (Simulation) One-Way Analysis of Variance F-Tests (Simulation) – Unequal n’s One-Way Analysis of Variance F-Tests using Effect Size One-Way Analysis of Variance F-Tests using Effect Size – Unequal n’s Power Comparison of Tests of Means in One-Way Designs (Simulation) Power Comparison of Tests of Means in One-Way Designs (Simulation) – Unequal n’s Analysis of Covariance (ANCOVA) One-Way Analysis of Variance Contrasts One-Way Analysis of Variance Contrasts Analysis of Covariance (ANCOVA) – Unequal n’s Kruskal-Wallis Tests (Simulation) Kruskal-Wallis Tests (Simulation) – Unequal n’s Terry-Hoeffding Normal-Scores Tests of Means (Simulation) Terry-Hoeffding Normal-Scores Tests of Means (Simulation) – Unequal n’s Van der Waerden Normal Quantiles Tests of Means (Simulation) Van der Waerden Normal Quantiles Tests of Means (Simulation) – Unequal n’s Pair-wise Multiple Comparisons (Simulation) – Tukey-Kramer Pair-wise Multiple Comparisons (Simulation) – Tukey-Kramer – Unequal n’s Pair-wise Multiple Comparisons (Simulation) – Kruskal-Wallis Pair-wise Multiple Comparisons (Simulation) – Kruskal-Wallis – Unequal n’s Pair-wise Multiple Comparisons (Simulation) – Games-Howell Pair-wise Multiple Comparisons (Simulation) – Games-Howell – Unequal n’s Multiple Comparisons of Treatments vs. a Control (Simulation) – Dunnett Multiple Comparisons of Treatments vs. a Control (Simulation) – Dunnett – Unequal n’s Multiple Comparisons of Treatments vs. a Control (Simulation) – Kruskal-Wallis Multiple Comparisons of Treatments vs. a Control (Simulation) – Kruskal-Wallis – Unequal n’s Multiple Comparisons – All Pairs – Tukey-Kramer Multiple Comparisons – All Pairs – Tukey-Kramer – Unequal n’s Multiple Comparisons – With Best – Hsu Multiple Comparisons – With Best – Hsu – Unequal n’s Multiple Comparisons – With Control – Dunnett Multiple Comparisons – With Control – Dunnett – Unequal n’s Multiple Contrasts (Simulation) – Dunn-Bonferroni Multiple Contrasts (Simulation) – Dunn-Bonferroni – Unequal n’s Multiple Contrasts (Simulation) – Dunn-Welch Multiple Contrasts (Simulation) – Dunn-Welch – Unequal n’s Williams Test for the Minimum Effective Dose Factorial Analysis of Variance Factorial Analysis of Variance using Effect Size Randomized Block Analysis of Variance Repeated Measures Analysis Repeated Measures Analysis – Unequal n’s One-Way Repeated Measures One-Way Repeated Measures Contrasts Confidence Intervals for One-Way Repeated Measures Contrasts MANOVA MANOVA – Unequal n’s Mixed Models Mixed Models – Unequal n’s GEE Tests for the Slope of Multiple Groups in a Repeated Measures Design (Continuous Outcome) GEE Tests for the TAD of Multiple Groups in a Repeated Measures Design (Continuous Outcome) GEE Tests for Multiple Means in a Cluster-Randomized Design Multi-Arm Tests of the Difference Between Treatment and Control Means Assuming Equal Variance Multi-Arm, Non-Inferiority Tests of the Difference Between Treatment and Control Means Assuming Equal Variance Multi-Arm, Superiority by a Margin Tests of the Difference Between Treatment and Control Means Assuming Equal Variance Multi-Arm, Equivalence Tests of the Difference Between Treatment and Control Means Assuming Equal Variance Multi-Arm Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variances Multi-Arm, Non-Inferiority Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variances Multi-Arm, Superiority by a Margin Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variance Multi-Arm, Equivalence Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variance Multi-Arm Tests of the Ratio of Treatment and Control Means Assuming Log-Normal Data Multi-Arm, Non-Inferiority Tests of the Ratio of Treatment and Control Means Assuming Log-Normal Data Multi-Arm, Superiority by a Margin Tests of the Ratio of Treatment and Control Means Assuming Log-Normal Data Multi-Arm, Equivalence Tests of the Ratio of Treatment and Control Means Assuming Log-Normal Data Multi-Arm Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances Multi-Arm, Non-Inferiority Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances Multi-Arm, Superiority by a Margin Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances Multi-Arm, Equivalence Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances Multi-Arm Tests for Treatment and Control Means in a Cluster-Randomized Design Multi-Arm, Non-Inferiority Tests for Treatment and Control Means in a Cluster-Randomized Design

Mediation Effects

Tests of Mediation Effect using the Sobel Test Tests of Mediation Effect in Linear Regression Tests of Mediation Effect in Logistic Regression Tests of Mediation Effect in Poisson Regression Tests of Mediation Effect in Cox Regression Joint Tests of Mediation in Linear Regression with Continuous Variables

Michaelis-Menten Parameters

Confidence Intervals for Michaelis-Menten Parameters Confidence Intervals for Michaelis-Menten Parameters – Unequal n’s

Mixed Models

Mixed Models Mixed Models – Unequal n’s Mixed Models Tests for Two Means in a 2-Level Hierarchical Design (Level-2 Randomization) Mixed Models Tests for Two Means in a 2-Level Hierarchical Design (Level-1 Randomization) Mixed Models Tests for the Slope Difference in a 2-Level Hierarchical Design with Fixed Slopes Mixed Models Tests for the Slope Difference in a 2-Level Hierarchical Design with Random Slopes Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-3 Randomization) Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-2 Randomization) Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-1 Randomization) Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Fixed Slopes (Level-2 Rand.) Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Random Slopes (Level-2 Rand.) Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Fixed Slopes (Level-3 Rand.) Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Random Slopes (Level-3 Rand.) Mixed Models Tests for Two Means at the End of Follow-Up in a 3-Level Hierarchical Design (Level-3 Randomization) Mixed Models Tests for Two Means at the End of Follow-Up in a 2-Level Hierarchical Design Mixed Models Tests for Two Means at the End of Follow-Up in a 3-Level Hierarchical Design (Level-3 Randomization) Mixed Models Tests for Two Means at the End of Follow-Up in a 2-Level Hierarchical Design Mixed Models Tests for Interaction in a 2×2 Factorial 2-Level Hierarchical Design (Level-2 Randomization) Mixed Models Tests for Interaction in a 2×2 Factorial 2-Level Hierarchical Design (Level-1 Randomization) Mixed Models Tests for Interaction in a 2×2 Factorial 3-Level Hierarchical Design (Level-3 Randomization) Mixed Models Tests for Interaction in a 2×2 Factorial 3-Level Hierarchical Design (Level-2 Randomization) Mixed Models Tests for Interaction in a 2×2 Factorial 3-Level Hierarchical Design (Level-1 Randomization) Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 3-Level Hierarchical Design with Random Slopes (Level-3 Randomization) Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 3-Level Hierarchical Design with Random Slopes (Level-2 Randomization) Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 2-Level Hierarchical Design with Random Slopes (Level-2 Randomization) Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 3-Level Hierarchical Design with Fixed Slopes (Level-3 Randomization) Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 3-Level Hierarchical Design with Fixed Slopes (Level-2 Randomization) Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 2-Level Hierarchical Design with Fixed Slopes (Level-2 Randomization) Mixed Models Tests for Two Means in a Cluster-Randomized Design

Non-Inferiority

Non-Inferiority Tests for One Mean Non-Inferiority Tests for Two Means using Differences Non-Inferiority Tests for Two Means using Differences – Unequal n’s Non-Inferiority Tests for Two Means using Ratios Non-Inferiority Tests for Two Means using Ratios – Unequal n’s Non-Inferiority Tests for the Ratio of Two Poisson Rates Non-Inferiority Tests for the Ratio of Two Poisson Rates – Unequal n’s Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Means Group-Sequential Non-Inferiority Tests for Two Means – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test – Unequal n’s Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Differences Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Ratios Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Differences Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Ratios Non-Inferiority Tests for Two Means in a Cluster-Randomized Design Non-Inferiority Tests for One Proportion – Exact Non-Inferiority Tests for One Proportion – Z-Test using S(P0) Non-Inferiority Tests for One Proportion – Z-Test using S(P0) with Continuity Correction Non-Inferiority Tests for One Proportion – Z-Test using S(Phat) Non-Inferiority Tests for One Proportion – Z-Test using S(Phat) with Continuity Correction Non-Inferiority Tests for One Proportion using Differences Non-Inferiority Tests for One Proportion using Ratios Non-Inferiority Tests for One Proportion using Odds Ratios Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) – Unequal n’s Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) – Unequal n’s Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction – Unequal n’s Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction – Unequal n’s Non-Inferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning) Non-Inferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s Non-Inferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) Non-Inferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s Non-Inferiority Tests for Two Proportions – Likelihood Score (Gart & Nam) Non-Inferiority Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s Non-Inferiority Tests for Two Proportions using Differences Non-Inferiority Tests for Two Proportions using Ratios Non-Inferiority Tests for Two Proportions using Odds Ratios Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) Group-Sequential Non-Inferiority Tests for Two Proportions using Differences (Simulation) Group-Sequential Non-Inferiority Tests for Two Proportions using Ratios (Simulation) Group-Sequential Non-Inferiority Tests for Two Proportions using Odds Ratios (Simulation) Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation) Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation) Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation) – Unequal n’s Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation) Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Unequal n’s Non-Inferiority Tests for Two Correlated Proportions using Differences Non-Inferiority Tests for Two Correlated Proportions using Ratios Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Z-Test (Pooled) Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Z-Test (Pooled) – Unequal n’s Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Z-Test (Unpooled) Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Z-Test (Unpooled) – Unequal n’s Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Likelihood Score (Farrington & Manning) Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Likelihood Score (Farrington & Manning) – Unequal n’s Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design using Differences Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design using Ratios Non-Inferiority Tests for Two Survival Curves Using Cox’s Proportional Hazards Model Non-Inferiority Tests for Two Survival Curves Using Cox’s Proportional Hazards Model – Unequal n’s Non-Inferiority Tests for the Difference of Two Hazard Rates Assuming an Exponential Model Non-Inferiority Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s Non-Inferiority Logrank Tests Non-Inferiority Logrank Tests – Unequal n’s Non-Inferiority Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design Non-Inferiority Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design Non-Inferiority Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design Non-Inferiority Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design Non-Inferiority Tests for Pairwise Proportion Differences in a Williams Cross-Over Design Non-Inferiority Tests for Pairwise Mean Differences in a Williams Cross-Over Design Conditional Power of Two-Sample T-Tests for Non-Inferiority Conditional Power of Non-Inferiority Tests for the Difference Between Two Proportions Conditional Power of Non-Inferiority Logrank Tests Conditional Power of Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design Conditional Power of One-Sample T-Tests for Non-Inferiority Conditional Power of Paired T-Tests for Non-Inferiority Conditional Power of Non-Inferiority Tests for One Proportion Non-Inferiority Tests for Simple Linear Regression Non-Inferiority Tests for the Ratio of Two Within-Subject Variances in a Parallel Design Non-Inferiority Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design Non-Inferiority Tests for the Difference of Two Within-Subject CV's in a Parallel Design Non-Inferiority Tests for the Ratio of Two Variances Non-Inferiority Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design Non-Inferiority Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design Non-Inferiority Tests for Two Total Variances in a Replicated Design Non-Inferiority Tests for Two Total Variances in a 2×2 Cross-Over Design Non-Inferiority Tests for Two Between Variances in a Replicated Design One-Sample Z-Tests for Non-Inferiority Wilcoxon Signed-Rank Tests for Non-Inferiority Paired T-Tests for Non-Inferiority Paired Z-Tests for Non-Inferiority Paired Wilcoxon Signed-Rank Tests for Non-Inferiority Two-Sample T-Tests for Non-Inferiority Allowing Unequal Variance Two-Sample T-Tests for Non-Inferiority Assuming Equal Variance Mann-Whitney U or Wilcoxon Rank-Sum Tests for Non-Inferiority Multi-Arm, Non-Inferiority Tests of the Difference Between Treatment and Control Proportions Multi-Arm, Non-Inferiority Tests of the Ratio of Treatment and Control Proportions Multi-Arm, Non-Inferiority Tests of the Odds Ratio of Treatment and Control Proportions Multi-Arm, Non-Inferiority Tests for Treatment and Control Proportions in a Cluster-Randomized Design Multi-Arm, Non-Inferiority Tests of the Difference Between Treatment and Control Means Assuming Equal Variance Multi-Arm, Non-Inferiority Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variances Multi-Arm, Non-Inferiority Tests of the Ratio of Treatment and Control Means Assuming Log-Normal Data Multi-Arm, Non-Inferiority Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances Multi-Arm, Non-Inferiority Tests for Treatment and Control Means in a Cluster-Randomized Design Multi-Arm, Non-Inferiority Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model Multi-Arm, Non-Inferiority Tests for Vaccine Efficacy Using the Ratio of Treatment and Control Proportions Multi-Arm, Non-Inferiority Tests for Vaccine Efficacy Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model

Nonparametric

Spearman’s Rank Correlation Tests with Simulation Kendall’s Tau-b Correlation Tests with Simulation Power Comparison of Correlation Tests with Simulation Tests for One Mean – (Simulation) – Wilcoxon Test Tests for One Mean – (Simulation) – Sign Test Tests for One Mean – (Simulation) – Bootstrap Test Tests for Paired Means (Simulation) – Wilcoxon Test Tests for Paired Means (Simulation) – Sign Test Tests for Paired Means (Simulation) – Bootstrap Test Mann-Whitney-Wilcoxon Tests (Simulation) Mann-Whitney-Wilcoxon Tests (Simulation) – Unequal n’s Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test – Unequal n’s Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test – Unequal n’s Power Comparison of Tests of Means in One-Way Designs (Simulation) Power Comparison of Tests of Means in One-Way Designs (Simulation) – Unequal n’s Kruskal-Wallis Tests (Simulation) Kruskal-Wallis Tests (Simulation) – Unequal n’s Terry-Hoeffding Normal-Scores Tests of Means (Simulation) Terry-Hoeffding Normal-Scores Tests of Means (Simulation) – Unequal n’s Van der Waerden Normal Quantiles Tests of Means (Simulation) Van der Waerden Normal Quantiles Tests of Means (Simulation) – Unequal n’s Pair-wise Multiple Comparisons (Simulation) – Kruskal-Wallis Pair-wise Multiple Comparisons (Simulation) – Kruskal-Wallis – Unequal n’s Multiple Comparisons of Treatments vs. a Control (Simulation) – Kruskal-Wallis Multiple Comparisons of Treatments vs. a Control (Simulation) – Kruskal-Wallis – Unequal n’s Nonparametric Reference Intervals for Non-Normal Data Wilcoxon Signed-Rank Tests Wilcoxon Signed-Rank Tests for Non-Inferiority Wilcoxon Signed-Rank Tests for Superiority by a Margin Paired Wilcoxon Signed-Rank Tests Paired Wilcoxon Signed-Rank Tests for Non-Inferiority Paired Wilcoxon Signed-Rank Tests for Superiority by a Margin Mann-Whitney U or Wilcoxon Rank-Sum Tests Mann-Whitney U or Wilcoxon Rank-Sum Tests for Non-Inferiority Mann-Whitney U or Wilcoxon Rank-Sum Tests for Superiority by a Margin Mann-Whitney U or Wilcoxon Rank-Sum Tests (Noether) Stratified Wilcoxon-Mann-Whitney (van Elteren) Test

Non-Zero and Non-Unity Null Tests

Non-Zero Null Tests for Simple Linear Regression Non-Zero Null Tests for Simple Linear Regression using R-Squared Non-Unity Null Tests for the Ratio of Within-Subject Variances in a Parallel Design Non-Unity Null Tests for the Ratio of Within-Subject Variances in a 2×2M Replicated Cross-Over Design Non-Zero Null Tests for the Difference of Two Within-Subject CV's in a Parallel Design Non-Unity Null Tests for the Ratio of Two Variances Non-Unity Null Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design Non-Unity Null Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design Non-Unity Null Tests for Two Total Variances in a 2×2 Cross-Over Design Non-Unity Null Tests for Two Total Variances in a Replicated Design Non-Unity Null Tests for Two Between Variances in a Replicated Design

Normality Tests

Normality Tests (Simulation) – Anderson-Darling Normality Tests (Simulation) – Kolmogorov-Smirnov Normality Tests (Simulation) – Kurtosis Normality Tests (Simulation) – Martinez-Iglewicz Normality Tests (Simulation) – Omnibus Normality Tests (Simulation) – Range Normality Tests (Simulation) – Shapiro-Wilk Normality Tests (Simulation) – Skewness Normality Tests (Simulation) – Any Test

Pilot Studies

UCL of the Standard Deviation from a Pilot Study Sample Size of a Pilot Study using the Upper Confidence Limit of the SD Sample Size of a Pilot Study using the Non-Central t to Allow for Uncertainty in the SD Required Sample Size to Detect a Problem in a Pilot Study Pilot Study Sample Size Rules of Thumb

Proportions - One

Tests for One Proportion – Exact Tests for One Proportion – Z-Test using S(P0) Tests for One Proportion – Z-Test using S(P0) with Continuity Correction Tests for One Proportion – Z-Test using S(Phat) Tests for One Proportion – Z-Test using S(Phat) with Continuity Correction Tests for One Proportion using Differences Tests for One Proportion using Ratios Tests for One Proportion using Odds Ratios Tests for One Proportion using Effect Size Tests for One Proportion to Demonstrate Conformance with a Reliability Standard Tests for One Proportion to Demonstrate Conformance with a Reliability Standard with Fixed Adverse Events Confidence Intervals for One Proportion – Exact (Clopper-Pearson) Confidence Intervals for One Proportion – Score (Wilson) Confidence Intervals for One Proportion – Score with Continuity Correction Confidence Intervals for One Proportion – Simple Asymptotic Confidence Intervals for One Proportion – Simple Asymptotic with Continuity Correction Confidence Intervals for One Proportion from a Finite Population Confidence Intervals for One Proportion in a Stratified Design Confidence Intervals for One Proportion in a Cluster-Randomized Design Confidence Intervals for One Proportion in a Stratified Cluster-Randomized Design Non-Inferiority Tests for One Proportion – Exact Non-Inferiority Tests for One Proportion – Z-Test using S(P0) Non-Inferiority Tests for One Proportion – Z-Test using S(P0) with Continuity Correction Non-Inferiority Tests for One Proportion – Z-Test using S(Phat) Non-Inferiority Tests for One Proportion – Z-Test using S(Phat) with Continuity Correction Non-Inferiority Tests for One Proportion using Differences Non-Inferiority Tests for One Proportion using Ratios Non-Inferiority Tests for One Proportion using Odds Ratios Equivalence Tests for One Proportion – Exact Test Equivalence Tests for One Proportion – Z Test using S(P0) Equivalence Tests for One Proportion – Z Test using S(P0) with Continuity Correction Equivalence Tests for One Proportion – Z Test using S(Phat) Equivalence Tests for One Proportion – Z Test using S(Phat) with Continuity Correction Equivalence Tests for One Proportion using Differences Equivalence Tests for One Proportion using Ratios Equivalence Tests for One Proportion using Odds Ratios Superiority by a Margin Tests for One Proportion – Exact Superiority by a Margin Tests for One Proportion – Z-Test using S(P0) Superiority by a Margin Tests for One Proportion – Z-Test using S(P0) with Continuity Correction Superiority by a Margin Tests for One Proportion – Z-Test using S(Phat) Superiority by a Margin Tests for One Proportion – Z-Test using S(Phat) with Continuity Correction Superiority by a Margin Tests for One Proportion using Differences Superiority by a Margin Tests for One Proportion using Ratios Superiority by a Margin Tests for One Proportion using Odds Ratios Single-Stage Phase II Clinical Trials Two-Stage Phase II Clinical Trials Three-Stage Phase II Clinical Trials Post-Marketing Surveillance – Cohort – No Background Incidence Post-Marketing Surveillance – Cohort – Known Background Incidence Post-Marketing Surveillance – Cohort – Unknown Background Incidence Post-Marketing Surveillance – Matched Case-Control Study Conditional Power of One Proportion Tests Tests for One-Sample Sensitivity and Specificity Confidence Intervals for One-Sample Sensitivity Confidence Intervals for One-Sample Specificity Confidence Intervals for One-Sample Sensitivity and Specificity Group-Sequential Tests for One Proportion in a Fleming Design Conditional Power of Non-Inferiority Tests for One Proportion Conditional Power of Superiority by a Margin Tests for One Proportion Two-Stage Designs for Tests of One Proportion (Simon)

Proportions - Two Independent

Tests for Two Proportions – Fisher’s Exact Test Tests for Two Proportions – Fisher’s Exact Test – Unequal n’s Tests for Two Proportions – Z-Test (Pooled) Tests for Two Proportions – Z-Test (Pooled) – Unequal n’s Tests for Two Proportions – Z-Test (Unpooled) Tests for Two Proportions – Z-Test (Unpooled) – Unequal n’s Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction – Unequal n’s Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction – Unequal n’s Tests for Two Proportions – Mantel-Haenszel Test Tests for Two Proportions – Mantel-Haenszel Test – Unequal n’s Tests for Two Proportions – Likelihood Ratio Test Tests for Two Proportions – Likelihood Ratio Test – Unequal n’s Tests for Two Proportions using Differences Tests for Two Proportions using Ratios Tests for Two Proportions using Odds Ratios Tests for Two Proportions using Effect Size Tests for Two Proportions using Effect Size – Unequal n’s Confidence Intervals for Two Proportions – Score (Farrington & Manning) Confidence Intervals for Two Proportions – Score (Farrington & Manning) – Unequal n’s Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen) Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen) – Unequal n’s Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam) Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam) – Unequal n’s Confidence Intervals for Two Proportions – Score (Wilson) Confidence Intervals for Two Proportions – Score (Wilson) – Unequal n’s Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson) Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson) – Unequal n’s Confidence Intervals for Two Proportions – Chi-Square with Continuity Correction (Yates) Confidence Intervals for Two Proportions – Chi-Square with Continuity Correction (Yates) – Unequal n’s Confidence Intervals for Two Proportions – Chi-Square (Pearson) Confidence Intervals for Two Proportions – Chi-Square (Pearson) – Unequal n’s Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning) Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning) – Unequal n’s Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen) Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen) – Unequal n’s Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam) Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam) – Unequal n’s Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz) Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz) – Unequal n’s Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter) Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter) – Unequal n’s Confidence Intervals for Two Proportions using Ratios – Fleiss Confidence Intervals for Two Proportions using Ratios – Fleiss – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional) Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional) – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning) Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning) – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen) Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen) – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Fleiss Confidence Intervals for Two Proportions using Odds Ratios – Fleiss – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Logarithm Confidence Intervals for Two Proportions using Odds Ratios – Logarithm – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Mantel-Haenszel Confidence Intervals for Two Proportions using Odds Ratios – Mantel-Haenszel – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Simple Confidence Intervals for Two Proportions using Odds Ratios – Simple – Unequal n’s Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2 Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2 – Unequal n’s Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) – Unequal n’s Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) – Unequal n’s Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction – Unequal n’s Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction – Unequal n’s Non-Inferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning) Non-Inferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s Non-Inferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) Non-Inferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s Non-Inferiority Tests for Two Proportions – Likelihood Score (Gart & Nam) Non-Inferiority Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s Non-Inferiority Tests for Two Proportions using Differences Non-Inferiority Tests for Two Proportions using Ratios Non-Inferiority Tests for Two Proportions using Odds Ratios Equivalence Tests for Two Proportions – Z Test (Pooled) Equivalence Tests for Two Proportions – Z Test (Pooled) – Unequal n’s Equivalence Tests for Two Proportions – Z Test (Unpooled) Equivalence Tests for Two Proportions – Z Test (Unpooled) – Unequal n’s Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction – Unequal n’s Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction – Unequal n’s Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning) Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam) Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s Equivalence Tests for Two Proportions using Differences Equivalence Tests for Two Proportions using Ratios Equivalence Tests for Two Proportions using Odds Ratios Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) – Unequal n’s Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) – Unequal n’s Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction – Unequal n’s Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction – Unequal n’s Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning) Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam) Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s Superiority by a Margin Tests for Two Proportions using Differences Superiority by a Margin Tests for Two Proportions using Ratios Superiority by a Margin Tests for Two Proportions using Odds Ratios Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Difference Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Difference – Unequal n’s Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Log(OR) Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Log(OR) – Unequal n’s Tests for Two Proportions in a Repeated Measures Design using Proportions Group-Sequential Tests for Two Proportions Group-Sequential Tests for Two Proportions – Unequal n’s Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s Group-Sequential Tests for Two Proportions (Simulation) – Mantel-Haenszel Group-Sequential Tests for Two Proportions (Simulation) – Mantel-Haenszel – Unequal n’s Group-Sequential Tests for Two Proportions (Simulation) – Fisher’s Exact Group-Sequential Tests for Two Proportions (Simulation) – Fisher’s Exact – Unequal n’s Group-Sequential Tests for Two Proportions using Differences (Simulation) Group-Sequential Tests for Two Proportions using Ratios (Simulation) Group-Sequential Tests for Two Proportions using Odds Ratios (Simulation) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Proportions using Differences (Simulation) Group-Sequential Non-Inferiority Tests for Two Proportions using Ratios (Simulation) Group-Sequential Non-Inferiority Tests for Two Proportions using Odds Ratios (Simulation) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions using Differences (Simulation) Group-Sequential Superiority by a Margin Tests for Two Proportions using Ratios (Simulation) Group-Sequential Superiority by a Margin Tests for Two Proportions using Odds Ratios (Simulation) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Unequal n’s Conditional Power of Two-Proportions Tests Conditional Power of Two-Proportions Tests – Unequal n’s Tests for Two Proportions in a Stratified Design (Cochran/Mantel-Haenzel Test) Tests for Two Proportions in a Stratified Design (Cochran/Mantel-Haenzel Test) – Unequal n’s Tests for Two Proportions in a Repeated Measures Design Tests for Two Proportions in a Repeated Measures Design – Unequal n’s Tests for Two Proportions in a Repeated Measures Design using Odds Ratios Tests for Two Proportions in a Stepped-Wedge Cluster-Randomized Design - Complete Design Tests for Two Proportions in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom) Mixed Models Tests for Two Proportions in a 2-Level Hierarchical Design (Level-2 Randomization) Mixed Models Tests for Two Proportions in a 2-Level Hierarchical Design (Level-1 Randomization) Mixed Models Tests for Two Proportions in a 3-Level Hierarchical Design (Level-3 Randomization) Mixed Models Tests for Two Proportions in a 3-Level Hierarchical Design (Level-2 Randomization) Mixed Models Tests for Two Proportions in a 3-Level Hierarchical Design (Level-1 Randomization) Group-Sequential Tests for Two Proportions (Simulation) Conditional Power of Non-Inferiority Tests for the Difference Between Two Proportions Conditional Power of Superiority by a Margin Tests for the Difference Between Two Proportions Superiority by a Margin Tests for the Difference Between Two Proportions Superiority by a Margin Tests for the Ratio of Two Proportions Superiority by a Margin Tests for the Odds Ratio of Two Proportions Superiority by a Margin Tests for the Difference of Two Proportions in a Cluster-Randomized Design Superiority by a Margin Tests for the Ratio of Two Proportions in a Cluster-Randomized Design Tests for Two Proportions in a Split-Mouth Design Tests for Two Proportions in a Stratified Cluster-Randomized Design (Cochran-Mantel-Haenszel Test)

Proportions - Correlated or Paired

Tests for Two Correlated Proportions (McNemar's Test) Tests for Two Correlated Proportions (McNemar's Test) using Odds Ratios Tests for Two Correlated Proportions in a Matched Case-Control Design Tests for the Odds Ratio in a Matched Case-Control Design with a Binary Covariate using Conditional Logistic Regression Tests for the Odds Ratio in a Matched Case-Control Design with a Quantitative X using Conditional Logistic Regression Tests for the Matched-Pair Difference of Two Proportions in a Cluster-Randomized Design Non-Inferiority Tests for Two Correlated Proportions Non-Inferiority Tests for Two Correlated Proportions using Ratios Equivalence Tests for Two Correlated Proportions Equivalence Tests for Two Correlated Proportions using Ratios GEE Tests for the Slope of Two Groups in a Repeated Measures Design (Binary Outcome) GEE Tests for the TAD of Two Groups in a Repeated Measures Design (Binary Outcome) GEE Tests for Two Correlated Proportions with Dropout Tests for Two Correlated Proportions with Incomplete Observations

Proportions - Cross-Over Designs

Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design Non-Inferiority Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design Superiority by a Margin Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design Equivalence Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design Non-Inferiority Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design Superiority by a Margin Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design Equivalence Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design Tests for Pairwise Proportion Differences in a Williams Cross-Over Design Non-Inferiority Tests for Pairwise Proportion Differences in a Williams Cross-Over Design Superiority by a Margin Tests for Pairwise Proportion Differences in a Williams Cross-Over Design Equivalence Tests for Pairwise Proportion Differences in a Williams Cross-Over Design

Proportions - Many

Chi-Square Contingency Table Test Chi-Square Multinomial Test Cochran-Armitage Test for Trend in Proportions Cochran-Armitage Test for Trend in Proportions – Unequal n’s Multiple Comparisons of Proportions vs. Control Multiple Comparisons of Proportions vs. Control – Unequal n’s Logistic Regression Tests for Two Ordered Categorical Variables Tests for Two Ordered Categorical Variables – Unequal n’s GEE Tests for the TAD of Multiple Groups in a Repeated Measures Design (Binary Outcome) Tests for Multiple Correlated Proportions GEE Tests for Multiple Proportions in a Cluster-Randomized Design Tests for Multiple Proportions in a One-Way Design Multi-Arm Tests for Treatment and Control Proportions Multi-Arm, Non-Inferiority Tests of the Difference Between Treatment and Control Proportions Multi-Arm, Superiority by a Margin Tests of the Difference Between Treatment and Control Proportions Multi-Arm, Equivalence Tests of the Difference Between Treatment and Control Proportions Multi-Arm, Non-Inferiority Tests of the Ratio of Treatment and Control Proportions Multi-Arm, Superiority by a Margin Tests of the Ratio of Treatment and Control Proportions Multi-Arm, Equivalence Tests of the Ratio of Treatment and Control Proportions Multi-Arm, Non-Inferiority Tests of the Odds Ratio of Treatment and Control Proportions Multi-Arm, Superiority by a Margin Tests of the Odds Ratio of Treatment and Control Proportions Multi-Arm, Equivalence Tests of the Odds Ratio of Treatment and Control Proportions Multi-Arm Tests for Treatment and Control Proportions in a Cluster-Randomized Design Multi-Arm, Non-Inferiority Tests for Treatment and Control Proportions in a Cluster-Randomized Design Multi-Arm, Non-Inferiority Tests for Vaccine Efficacy Using the Ratio of Treatment and Control Proportions Multi-Arm, Superiority by a Margin Tests for Vaccine Efficacy Using the Ratio of Treatment and Control Proportions

Quality Control

Acceptance Sampling for Attributes Operating Characteristic Curves for Acceptance Sampling for Attributes Acceptance Sampling for Attributes with Zero Nonconformities Acceptance Sampling for Attributes with Fixed Nonconformities Quality Control Charts for Means – Shewhart (Xbar) (Simulation) Quality Control Charts for Means – CUSUM (Simulation) Quality Control Charts for Means – CUSUM + Shewhart (Simulation) Quality Control Charts for Means – FIR CUSUM (Simulation) Quality Control Charts for Means – FIR CUSUM + Shewhart (Simulation) Quality Control Charts for Means – EWMA (Simulation) Quality Control Charts for Means – EWMA + Shewhart (Simulation) Quality Control Charts for Variability – R (Simulation) Quality Control Charts for Variability – S (Simulation) Quality Control Charts for Variability – S with Probability Limits (Simulation) Confidence Intervals for Cp Confidence Intervals for Cpk

Rates and Counts

Tests for the Difference Between Two Poisson Rates Tests for the Difference Between Two Poisson Rates in a Cluster-Randomized Design Tests for the Matched-Pair Difference of Two Event Rates in a Cluster-Randomized Design Tests for the Ratio of Two Poisson Rates (Zhu) Tests for the Ratio of Two Negative Binomial Rates Poisson Means (Incidence Rates) Post-Marketing Surveillance (Incidence Rates) Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Complete Design Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom) Poisson Regression Equivalence Tests for the Ratio of Two Poisson Rates Equivalence Tests for the Ratio of Two Poisson Rates – Unequal n’s Equivalence Tests for the Ratio of Two Negative Binomial Rates Equivalence Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s Non-Inferiority Tests for the Ratio of Two Poisson Rates Non-Inferiority Tests for the Ratio of Two Poisson Rates – Unequal n’s Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s Superiority by a Margin Tests for the Ratio of Two Poisson Rates Superiority by a Margin Tests for the Ratio of Two Poisson Rates – Unequal n’s Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s GEE Tests for the Slope of Two Groups in a Repeated Measures Design (Count Outcome) GEE GEE Tests for the Slope of Multiple Groups in a Repeated Measures Design (Count Outcome) GEE Tests for the TAD of Two Groups in a Repeated Measures Design (Count Outcome) GEE Tests for the TAD of Multiple Groups in a Repeated Measures Design (Count Outcome) Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design Non-Inferiority Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design Superiority by a Margin Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design Equivalence Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design Tests of Mediation Effect in Poisson Regression GEE Tests for Multiple Poisson Rates in a Cluster-Randomized Design Tests for One Poisson Rate with No Background Incidence (Post-Marketing Surveillance) Tests for One Poisson Rate with Known Background Incidence (Post-Marketing Surveillance) Tests for Two Poisson Rates with Background Incidence Estimated by the Control (Post-Marketing Surveillance) Tests for Two Poisson Rates in a Matched Case-Control Design (Post-Marketing Surveillance) Tests for the Difference Between Two Poisson Rates in a Cluster-Randomized Design with Adjustment for Varying Cluster Sizes Tests for Multiple Poisson Rates in a One-Way Design

Reference Intervals

Reference Intervals for Normal Data Nonparametric Reference Intervals for Non-Normal Data

Regression

Linear Regression Confidence Intervals for Linear Regression Slope Tests for the Difference Between Two Linear Regression Slopes Tests for the Difference Between Two Linear Regression Intercepts Cox Regression Logistic Regression Logistic Regression with One Binary Covariate using the Wald Test Logistic Regression with Two Binary Covariates using the Wald Test Logistic Regression with Two Binary Covariates and an Interaction using the Wald Test Confidence Intervals for the Odds Ratio in a Logistic Regression with Two Binary Covariates Confidence Intervals for the Interaction Odds Ratio in a Logistic Regression with Two Binary Covariates Tests for the Odds Ratio in a Matched Case-Control Design with a Binary X using Conditional Logistic Regression Tests for the Odds Ratio in a Matched Case-Control Design with a Quantitative X using Conditional Logistic Regression Multiple Regression Multiple Regression using Effect Size Poisson Regression Probit Analysis - Probit Probit Analysis – Logit Confidence Intervals for Michaelis-Menten Parameters Confidence Intervals for Michaelis-Menten Parameters – Unequal n’s Reference Intervals for Clinical and Lab Medicine Mendelian Randomization with a Binary Outcome Mendelian Randomization with a Continuous Outcome Tests for the Odds Ratio in a Matched Case-Control Design with a Binary Covariate using Conditional Logistic Regression Tests for the Odds Ratio in a Matched Case-Control Design with a Quantitative X using Conditional Logistic Regression Tests for the Odds Ratio in Logistic Regression with One Normal X (Wald Test) Tests for the Odds Ratio in Logistic Regression with One Normal X and Other Xs (Wald Test) Tests for the Odds Ratio in Logistic Regression with One Binary X and Other Xs (Wald Test) Tests of Mediation Effect using the Sobel Test Tests of Mediation Effect in Linear Regression Tests of Mediation Effect in Logistic Regression Tests of Mediation Effect in Poisson Regression Tests of Mediation Effect in Cox Regression Joint Tests of Mediation in Linear Regression with Continuous Variables Simple Linear Regression Non-Zero Null Tests for Simple Linear Regression Non-Inferiority Tests for Simple Linear Regression Superiority by a Margin Tests for Simple Linear Regression Equivalence Tests for Simple Linear Regression Simple Linear Regression using R-Squared Non-Zero Null Tests for Simple Linear Regression using R-Squared Deming Regression

ROC Curves

Tests for One ROC Curve – Discrete Data Tests for One ROC Curve – Continuous Data Tests for One ROC Curve – Continuous Data – Unequal n’s Tests for Two ROC Curves – Discrete Data Tests for Two ROC Curves – Discrete Data – Unequal n’s Tests for Two ROC Curves – Continuous Data Tests for Two ROC Curves – Continuous Data – Unequal n’s Confidence Intervals for the Area Under an ROC Curve Confidence Intervals for the Area Under an ROC Curve – Unequal n’s

Sensitivity and Specificity

Tests for One-Sample Sensitivity and Specificity Tests for Paired Sensitivities Tests for Two Independent Sensitivities – Fisher’s Exact Test Tests for Two Independent Sensitivities – Fisher’s Exact Test – Unequal n’s Tests for Two Independent Sensitivities – Z-Test (Pooled) Tests for Two Independent Sensitivities – Z-Test (Pooled) – Unequal n’s Tests for Two Independent Sensitivities – Z-Test (Unpooled) Tests for Two Independent Sensitivities – Z-Test (Unpooled) – Unequal n’s Tests for Two Independent Sensitivities – Z-Test (Pooled) with Continuity Correction Tests for Two Independent Sensitivities – Z-Test (Pooled) with Continuity Correction – Unequal n’s Tests for Two Independent Sensitivities – Z-Test (Unpooled) with Continuity Correction Tests for Two Independent Sensitivities – Z-Test (Unpooled) with Continuity Correction – Unequal n’s Tests for Two Independent Sensitivities – Mantel-Haenszel Test Tests for Two Independent Sensitivities – Mantel-Haenszel Test – Unequal n’s Tests for Two Independent Sensitivities – Likelihood Ratio Test Tests for Two Independent Sensitivities – Likelihood Ratio Test – Unequal n’s Confidence Intervals for One-Sample Sensitivity Confidence Intervals for One-Sample Specificity Confidence Intervals for One-Sample Sensitivity and Specificity

Single-Case (AB)K Designs

Tests for the Difference Between Treatment and Control Means in Single-Case (AB)K Designs

Superiority by a Margin Tests

Superiority by a Margin Tests for One Mean Superiority by a Margin Tests for Paired Means Superiority by a Margin Tests for Two Means using Differences Superiority by a Margin Tests for Two Means using Differences – Unequal n’s Superiority by a Margin Tests for Two Means using Ratios Superiority by a Margin Tests for Two Means using Ratios – Unequal n’s Superiority by a Margin Tests for the Ratio of Two Poisson Rates Superiority by a Margin Tests for the Ratio of Two Poisson Rates – Unequal n’s Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Differences Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Ratios Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Differences Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Ratios Superiority by a Margin Tests for Two Means in a Cluster-Randomized Design Superiority by a Margin Tests for One Proportion – Exact Superiority by a Margin Tests for One Proportion – Z-Test using S(P0) Superiority by a Margin Tests for One Proportion – Z-Test using S(P0) with Continuity Correction Superiority by a Margin Tests for One Proportion – Z-Test using S(Phat) Superiority by a Margin Tests for One Proportion – Z-Test using S(Phat) with Continuity Correction Superiority by a Margin Tests for One Proportion using Differences Superiority by a Margin Tests for One Proportion using Ratios Superiority by a Margin Tests for One Proportion using Odds Ratios Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) – Unequal n’s Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) – Unequal n’s Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction – Unequal n’s Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction – Unequal n’s Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning) Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam) Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s Superiority Test of Two Proportions from a Cluster-Randomized Design – Z Test (Pooled) Superiority Test of Two Proportions from a Cluster-Randomized Design – Z Test (Pooled) – Unequal n’s Superiority Test of Two Proportions from a Cluster-Randomized Design – Z Test (Unpooled) Superiority Test of Two Proportions from a Cluster-Randomized Design – Z Test (Unpooled) – Unequal n’s Superiority Test of Two Proportions from a Cluster-Randomized Design – Likelihood Score Test Superiority Test of Two Proportions from a Cluster-Randomized Design – Likelihood Score Test – Unequal n’s Superiority by a Margin Tests for Two Proportions using Differences Superiority by a Margin Tests for Two Proportions using Ratios Superiority by a Margin Tests for Two Proportions using Odds Ratios Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions using Differences (Simulation) Group-Sequential Superiority by a Margin Tests for Two Proportions using Ratios (Simulation) Group-Sequential Superiority by a Margin Tests for Two Proportions using Odds Ratios (Simulation) Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation) Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation) Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation) – Unequal n’s Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation) Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Unequal n’s Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled) Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled) – Unequal n’s Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled) Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled) – Unequal n’s Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled) Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled) – Unequal n’s Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design using Proportions Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design using Differences Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design using Ratios Superiority by a Margin Tests for Two Survival Curves Using Cox’s Proportional Hazards Model Superiority by a Margin Tests for Two Survival Curves Using Cox’s Proportional Hazards Model – Unequal n’s Superiority by a Margin Tests for the Difference of Two Hazard Rates Assuming an Exponential Model Superiority by a Margin Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s Superiority by a Margin Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design Superiority by a Margin Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design Superiority by a Margin Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design Superiority by a Margin Tests for the Gen. Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design Superiority by a Margin Tests for Pairwise Proportion Differences in a Williams Cross-Over Design Superiority by a Margin Tests for Pairwise Mean Differences in a Williams Cross-Over Design Conditional Power of Two-Sample T-Tests for Superiority by a Margin Conditional Power of Superiority by a Margin Tests for the Difference Between Two Proportions Conditional Power of Superiority by a Margin Logrank Tests Conditional Power of Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design Conditional Power of One-Sample T-Tests for Superiority by a Margin Conditional Power of Paired T-Tests for Superiority by a Margin Conditional Power of Superiority by a Margin Tests for One Proportion Superiority by a Margin Tests for the Difference Between Two Proportions Superiority by a Margin Tests for the Ratio of Two Proportions Superiority by a Margin Tests for the Odds Ratio of Two Proportions Superiority by a Margin Tests for the Difference of Two Proportions in a Cluster-Randomized Design Superiority by a Margin Tests for the Ratio of Two Proportions in a Cluster-Randomized Design Superiority by a Margin Tests for Simple Linear Regression Superiority by a Margin Tests for the Ratio of Two Within-Subject Variances in a Parallel Design Superiority by a Margin Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design Superiority by a Margin Tests for the Difference of Two Within-Subject CV's in a Parallel Design Superiority by a Margin Tests for the Ratio of Two Variances Superiority by a Margin Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design Superiority by a Margin Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design Superiority by a Margin Tests for Two Total Variances in a Replicated Design Superiority by a Margin Tests for Two Total Variances in a 2×2 Cross-Over Design Superiority by a Margin Tests for Two Between Variances in a Replicated Design One-Sample Z-Tests for Superiority by a Margin Wilcoxon Signed-Rank Tests for Superiority by a Margin Paired T-Tests for Superiority by a Margin Paired Z-Tests for Superiority by a Margin Paired Wilcoxon Signed-Rank Tests for Superiority by a Margin Two-Sample T-Tests for Superiority by a Margin Assuming Equal Variance Two-Sample T-Tests for Superiority by a Margin Allowing Unequal Variance Mann-Whitney U or Wilcoxon Rank-Sum Tests for Superiority by a Margin Multi-Arm, Superiority by a Margin Tests of the Difference Between Treatment and Control Proportions Multi-Arm, Superiority by a Margin Tests of the Ratio of Treatment and Control Proportions Multi-Arm, Superiority by a Margin Tests of the Odds Ratio of Treatment and Control Proportions Multi-Arm, Superiority by a Margin Tests of the Difference Between Treatment and Control Means Assuming Equal Variance Multi-Arm, Superiority by a Margin Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variance Multi-Arm, Superiority by a Margin Tests of the Ratio of Treatment and Control Means Assuming Log-Normal Data Multi-Arm, Superiority by a Margin Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances Multi-Arm, Superiority by a Margin Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model Multi-Arm, Superiority by a Margin Tests for Vaccine Efficacy Using the Ratio of Treatment and Control Proportions Multi-Arm, Superiority by a Margin Tests for Vaccine Efficacy Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model

Survival Analysis

One-Sample Logrank Tests One-Sample Cure Model Tests Logrank Tests (Input Hazard Rates) Logrank Tests (Input Median Survival Times) Logrank Tests (Input Proportion Surviving) Logrank Tests (Input Mortality) Logrank Tests for Two Survival Curves Using Cox’s Proportional Hazards Model Logrank Tests – Unequal n’s Two-Group Survival Comparison Tests (Simulation) – Logrank Two-Group Survival Comparison Tests (Simulation) – Logrank – Unequal n’s Two-Group Survival Comparison Tests (Simulation) – Gehan-Wilcoxon Two-Group Survival Comparison Tests (Simulation) – Gehan-Wilcoxon – Unequal n’s Two-Group Survival Comparison Tests (Simulation) – Tarone-Ware Two-Group Survival Comparison Tests (Simulation) – Tarone-Ware – Unequal n’s Two-Group Survival Comparison Tests (Simulation) – Peto-Peto Two-Group Survival Comparison Tests (Simulation) – Peto-Peto – Unequal n’s Two-Group Survival Comparison Tests (Simulation) – Modified Peto-Peto Two-Group Survival Comparison Tests (Simulation) – Modified Peto-Peto – Unequal n’s Two-Group Survival Comparison Tests (Simulation) – Fleming-Harrington Custom Parameters Two-Group Survival Comparison Tests (Simulation) – Fleming-Harrington Custom Parameters – Unequal n’s Logrank Tests in a Cluster-Randomized Design Tests for Two Survival Curves using Cox’s Proportional Hazards Model Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s Tests for the Difference of Two Hazard Rates Assuming an Exponential Model Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s Logrank Tests Accounting for Competing Risks Logrank Tests Accounting for Competing Risks – Unequal n’s Non-Inferiority Logrank Tests Non-Inferiority Logrank Tests – Unequal n’s Non-Inferiority Tests for Two Survival Curves using Cox’s Proportional Hazards Model Non-Inferiority Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s Non-Inferiority Tests for Difference of Two Hazard Rates Assuming an Exponential Model Non-Inferiority Tests for Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s Equivalence Tests for Difference of Two Hazard Rates Assuming an Exponential Model Equivalence Tests for Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s Superiority by a Margin Tests for Two Survival Curves using Cox’s Proportional Hazards Model Superiority by a Margin Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s Superiority by a Margin Tests for Difference of Two Hazard Rates Assuming an Exponential Model Superiority by a Margin Tests for Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s Group-Sequential Logrank Tests of Two Survival Curves assuming Exponential Survival Group-Sequential Logrank Tests of Two Survival Curves assuming Proportional Hazards Group-Sequential Logrank Tests using Hazard Rates (Simulation) Group-Sequential Logrank Tests using Median Survival Times (Simulation) Group-Sequential Logrank Tests using Proportion Surviving (Simulation) Group-Sequential Logrank Tests using Mortality (Simulation) Group-Sequential Logrank Tests (Simulation) – Unequal n’s Group-Sequential Logrank Tests (Simulation) – Gehan-Wilcoxon Group-Sequential Logrank Tests (Simulation) – Gehan-Wilcoxon – Unequal n’s Group-Sequential Logrank Tests (Simulation) – Tarone-Ware Group-Sequential Logrank Tests (Simulation) – Tarone-Ware – Unequal n’s Group-Sequential Logrank Tests (Simulation) – Peto-Peto Group-Sequential Logrank Tests (Simulation) – Peto-Peto – Unequal n’s Group-Sequential Logrank Tests (Simulation) – Modified Peto-Peto Group-Sequential Logrank Tests (Simulation) – Modified Peto-Peto – Unequal n’s Group-Sequential Logrank Tests (Simulation) – Fleming-Harrington Custom Parameters Group-Sequential Logrank Tests (Simulation) – Fleming-Harrington Custom Parameters – Unequal n’s Group-Sequential Tests for Two Hazard Rates (Simulation) Group-Sequential Tests for Two Hazard Rates (Simulation) – Unequal n’s Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation) Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation) – Unequal n’s Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation) Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation) – Unequal n’s Conditional Power of Logrank Tests Cox Regression Tests for One Exponential Mean with Replacement Tests for One Exponential Mean without Replacement Tests for Two Exponential Means Tests for Two Exponential Means – Unequal n’s Confidence Intervals for the Exponential Lifetime Mean Confidence Intervals for the Exponential Hazard Rate Confidence Intervals for an Exponential Lifetime Percentile Confidence Intervals for Exponential Reliability Probit Analysis - Probit Probit Analysis – Logit Logrank Tests – Freedman Logrank Tests – Freedman – Unequal n’s Logrank Tests – Lachin and Foulkes Logrank Tests – Lachin and Foulkes – Unequal n’s Conditional Power of Non-Inferiority Logrank Tests Conditional Power of Superiority by a Margin Logrank Tests Tests of Mediation Effect in Cox Regression One-Sample Tests for Exponential Hazard Rate Multi-Arm Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model Multi-Arm, Non-Inferiority Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model Multi-Arm, Superiority by a Margin Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model Multi-Arm, Equivalence Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model Multi-Arm, Non-Inferiority Tests for Vaccine Efficacy Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model Multi-Arm, Superiority by a Margin Tests for Vaccine Efficacy Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model

Tolerance Intervals

Tolerance Intervals for Normal Data Tolerance Intervals for Any Data (Nonparametric) Tolerance Intervals for Exponential Data Tolerance Intervals for Gamma Data Tests for One Proportion to Demonstrate Conformance with a Reliability Standard Tests for One Proportion to Demonstrate Conformance with a Reliability Standard with Fixed Adverse Events

Two-Part Models

Tests for Two Groups Assuming a Two-Part Model Tests for Two Groups Assuming a Two-Part Model with Detection Limits

Variances and Standard Deviations

Tests for One Variance Tests for Two Variances Tests for Two Variances – Unequal n’s Bartlett Test of Variances (Simulation) Bartlett Test of Variances (Simulation) – Unequal n’s Levene Test of Variances (Simulation) Levene Test of Variances (Simulation) – Unequal n’s Brown-Forsythe Test of Variances (Simulation) Brown-Forsythe Test of Variances (Simulation) – Unequal n’s Conover Test of Variances (Simulation) Conover Test of Variances (Simulation) – Unequal n’s Power Comparison of Tests of Variances with Simulation Power Comparison of Tests of Variances with Simulation – Unequal n’s Confidence Intervals for One Standard Deviation using Standard Deviation Confidence Intervals for One Standard Deviation using Relative Error Confidence Intervals for One Standard Deviation with Tolerance Probability – Known Standard Deviation Confidence Intervals for One Standard Deviation with Tolerance Probability – Sample Standard Deviation Confidence Intervals for One Variance using Variance Confidence Intervals for One Variance using Relative Error Confidence Intervals for One Variance with Tolerance Probability – Known Variance Confidence Intervals for One Variance with Tolerance Probability – Sample Variance Confidence Intervals for the Ratio of Two Variances using Variances Confidence Intervals for the Ratio of Two Variances using Variances – Unequal n’s Confidence Intervals for the Ratio of Two Variances using Relative Error Confidence Intervals for the Ratio of Two Variances using Relative Error – Unequal n’s Quality Control Charts for Variability – R (Simulation) Quality Control Charts for Variability – S (Simulation) Quality Control Charts for Variability – S with Probability Limits (Simulation) Equivalence Tests for the Ratio of Two Within-Subject Variances in a Parallel Design Non-Inferiority Tests for the Ratio of Two Within-Subject Variances in a Parallel Design Superiority by a Margin Tests for the Ratio of Two Within-Subject Variances in a Parallel Design Tests for the Ratio of Two Within-Subject Variances in a Parallel Design Non-Unity Null Tests for the Ratio of Within-Subject Variances in a Parallel Design Equivalence Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design Non-Inferiority Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design Superiority by a Margin Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design Non-Unity Null Tests for the Ratio of Within-Subject Variances in a 2×2M Replicated Cross-Over Design Tests for the Ratio of Two Variances Non-Unity Null Tests for the Ratio of Two Variances Non-Inferiority Tests for the Ratio of Two Variances Superiority by a Margin Tests for the Ratio of Two Variances Equivalence Tests for the Ratio of Two Variances Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design Non-Unity Null Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design Non-Inferiority Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design Superiority by a Margin Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design Non-Unity Null Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design Non-Inferiority Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design Superiority by a Margin Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design Tests for Two Total Variances in a Replicated Design Non-Unity Null Tests for Two Total Variances in a Replicated Design Non-Inferiority Tests for Two Total Variances in a Replicated Design Superiority by a Margin Tests for Two Total Variances in a Replicated Design Tests for Two Total Variances in a 2×2 Cross-Over Design Non-Unity Null Tests for Two Total Variances in a 2×2 Cross-Over Design Non-Inferiority Tests for Two Total Variances in a 2×2 Cross-Over Design Superiority by a Margin Tests for Two Total Variances in a 2×2 Cross-Over Design Tests for Two Between Variances in a Replicated Design Non-Unity Null Tests for Two Between Variances in a Replicated Design Non-Inferiority Tests for Two Between Variances in a Replicated Design Superiority by a Margin Tests for Two Between Variances in a Replicated Design Tests for the Difference of Two Within-Subject CV's in a Parallel Design Non-Zero Null Tests for the Difference of Two Within-Subject CV's in a Parallel Design Non-Inferiority Tests for the Difference of Two Within-Subject CV's in a Parallel Design Superiority by a Margin Tests for the Difference of Two Within-Subject CV's in a Parallel Design Equivalence Tests for the Difference of Two Within-Subject CV's in a Parallel Design

Win-Ratio Composite Endpoint

Tests Comparing Two Groups Using the Win-Ratio Composite Endpoint Tests for Two Groups using the Win-Ratio Composite Endpoint in a Stratified Design

Bayesian Adjustment

Bayesian Adjustment using the Posterior Error Approach

Tools

Installation Validation Tool for Installation Qualification (IQ) Procedure Validation Tool for Operational Qualification (OQ) Chi-Square Effect-Size Estimator Multinomial Effect-Size Estimator Odds Ratio to Proportions Converter Probability Calculator (Various Distributions) Standard Deviation Estimator Survival Parameter Conversion Tool Standard Deviation of Means Calculator Data Simulator

Design of Experiments (Non-Sample Size Tools)

这些工具用于生成设计,而不是用于估计或分析样本量。 Balanced Incomplete Block Designs D-Optimal Designs Design Generator Fractional Factorial Designs Latin Square Designs Response Surface Designs Screening Designs Taguchi Designs Two-Level Designs Randomization Lists



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