Minimal A/B Testing Library in PHP

rpact: Confirmatory Adaptive Clinical Trial Design and Analysis

Clinical Trial related calculation: descriptive statistics, power and sample size calculation, randomization.

Precision Based Sample Size Calculation

This python project is a helper package that uses power analysis to calculate required sample size for any experiment

Design of single- and multi-stage multi-arm clinical trials

AB test sample size calculator run through Streamlit

Free WordPress Plugin: This sample size calculator enables you to calculate the minimum sample size and the margin of error. Learn about sample size, the margin of error, & confidence interval. www.calculator.io/sample-size-calculator/

`powerly` is an R package for conducting sample size analysis for network models and more.

Collection of scripts and modules for biostatistics and data science simple automation for research process.

Package providing functions to calculate pseudo-ranks and (pseudo)-rank based nonparametric test statistics.

Web application to run meta-analyses

Power Analysis for SEM models in R

Code for calculating sample sizes for A/B tests based on power analysis.

Sample Size for Medical Research with R: A Quick Guide Cookbook

R package for sample size calculation for the Wilcoxon-Mann-Whitney test.

SimTOST is an R package designed to facilitate the sample size estimation for bioequivalence studies using a simulation-based approach.

Joint power analysis for non-symmetric two-stage case-control designs

📈 Sample Size Estimation for the {pregnancy} Project

Power and sample size for Hypothesis testiing.

R Shinyapp to calculate sample size for a given power

Content from the course "Principles and Applications in Statistical Analysis (52221)" at The Hebrew University of Jerusalem, in the Department of Statistics and Data Science.

Precise and fully-featured A/B/n Test sample size & duration calculator.

Sample-Size Calculations for A/B Testing using Delta method

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)

R shiny app to determine minimum effect size for a priori study sample size/power calculation

Sample size estimation for single cell studies

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

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.

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.