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

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/

The implementation of sample size estimation methods.

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

This is the first benchmark for iPR T3.5. Includes approach for PDPID study 1)Data exploration, 2)sample size estimation via Logistic regression

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.

This repository contains code to estimate sample size needed to compare dynamic treatment regimens using longitudinal count outcomes from a Sequential Multiple Assignment Randomized Trial (SMART).

Sample R code for paper "Design and analysis of cluster randomized trials with time-to-event outcomes under the additive hazards mixed model" by Blaha, Esserman and Li (Under Review).