rpact: Confirmatory Adaptive Clinical Trial Design and Analysis
Precision Based Sample Size Calculation
Design of single- and multi-stage multi-arm clinical trials
`powerly` is an R package for conducting sample size analysis for network models and more.
Web application to run meta-analyses
R package for sample size calculation for the Wilcoxon-Mann-Whitney test.
Power and sample size for Hypothesis testiing.
Power Analysis for SEM models in R
SimTOST is an R package designed to facilitate the sample size estimation for bioequivalence studies using a simulation-based approach.
Supplemental material for Redfors, Björn, et al. "The win ratio approach for composite endpoints: practical guidance based on previous experience." European Heart Journal (2020). This repo contains R functions that approximate the sample size for a two-arm clinical trial based on a composite endpoint analyzed using the Win Ratio.
Sample-Size Calculations for A/B Testing using Delta method
R functions I made over the years to make my work easier. Includes data visualization functions in base R and functions for extracting relevant info from R model objects to make useful, informative tables.
R Shinyapp to calculate sample size for a given power
📈 Sample size estimation for the {pregnancy} project
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