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 Analysis for SEM models in R

Power and sample size for Hypothesis testiing.

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 scripts of Innocenti et al. (2021, Statistical Methods in Medical Research, 30(2), 357-375)

R Shinyapp to calculate sample size for a given power

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.

Shiny app to compute the sample size for optimal designs for univariate norming based on the methods derived in Innocenti et al. (2023, Psychological Methods, 28(1), 89–106)

📈 Sample size estimation for the {pregnancy} project

Shiny app to compute the sample size for optimal designs for multivariate norming based on the methods developed in Innocenti et al. (2024, Journal of Educational and Behavioral Statistics, 49(5), 817-847)