This python project is a helper package that uses power analysis to calculate required sample size for any experiment
-
Updated
Jan 3, 2025 - Python
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.
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).
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).
Add a description, image, and links to the sample-size-estimation topic page so that developers can more easily learn about it.
To associate your repository with the sample-size-estimation topic, visit your repo's landing page and select "manage topics."