Inferential Statistics
Inferential Statistics.
Bland-Altman Plots
Confidence Intervals for Binomial Proportions
Confidence Intervals for Difference of Two Binomial Proportions
Bootstrap t-Test
Confidence Intervals for Coefficient of Variation
Visualize Distribution of Test Statistic.
Hsu Two-Sample t-Test
Impute Standard Deviations for Changes from Baseline
Compute Sensitivity and Specificty based on MD.
Compute z-Factor based on MD.
Visualize MD.
Multiple Imputation Student's t-Test
Multiple Imputation Wilcoxon Rank Sum and Signed Rank Tests
Intersection-Union t-Test for Testing Multiple Co-Primary Endpoints
Intersection-Union z-Test for Testing Multiple Co-Primary Endpoints
Confidence Intervals for Mean and Standard Deviation
Confidence Intervals for Difference of Means
Compute SES from p value.
Compute Pairwise t Tests
Compute Pairwise Wilcoxon Tests
Compute pairwise values for a given function
Permutation t-Test
Print Method for MPE Hypothesis Test
Confidence Intervals for Quantiles
Test for Equal Means in a Repeated Measures One-Way Layout
Volcano Plots
Computation of various confidence intervals (Altman et al. (2000), ISBN:978-0-727-91375-3; Hedderich and Sachs (2018), ISBN:978-3-662-56657-2) including bootstrapped versions (Davison and Hinkley (1997), ISBN:978-0-511-80284-3) as well as Hsu (Hedderich and Sachs (2018), ISBN:978-3-662-56657-2), permutation (Janssen (1997), <doi:10.1016/S0167-7152(97)00043-6>), bootstrap (Davison and Hinkley (1997), ISBN:978-0-511-80284-3), intersection-union (Sozu et al. (2015), ISBN:978-3-319-22005-5) and multiple imputation (Barnard and Rubin (1999), <doi:10.1093/biomet/86.4.948>) t-test; furthermore, computation of intersection-union z-test as well as multiple imputation Wilcoxon tests. Graphical visualizations: volcano plot, Bland-Altman plots (Bland and Altman (1986), <doi:10.1016/S0140-6736(86)90837-8>; Shieh (2018), <doi:10.1186/s12874-018-0505-y>), mean difference plot (Boehning et al. (2008), <doi:10.1177/0962280207081867>), plot of test statistic for permutation and bootstrap tests as well as objects of class htest.