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.

AB test sample size calculator run through Streamlit

Precision Based Sample Size Calculation

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

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/

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.

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

Web application to run meta-analyses

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

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

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

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.

Sample size estimation for single cell studies

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.