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: Calculate the exact sample size and margin of error for your next survey or study. Use our free Sample Size Calculator for statistically accurate results. 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 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).

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.

Sample size planning tools for the Joint Hierarchical Model using a 2-PL normal ogive model for response accuracy and a 3-PL log-normal model for response time. Precomputed results can be accessed instantly, custom designs can be computed, and diagnostics can be used to interpret results.