Sample Size Calculator

Calculate required sample size with literature-based effect size estimation, sensitivity matrix across power levels, and reproducible R/Python code — includes verification guidance.

sample sizepower analysisstudy planningeffect sizeR codePython codeclinical trialcomprehensive

Usage Guide

Specify your study design and primary outcome. If you know your expected effect size, enter it; otherwise, the AI will search the literature to help you estimate one. Best used after "Research Design Consultation" to calculate sample size for your chosen design.

Prompt Runner

Fill in variables, generate personalized prompt, and copy with one click

Wiki

A sample size calculation tool that combines literature-based effect size estimation, explicit formula display, sensitivity matrices across power levels, reproducible R/Python code, and practical feasibility guidance — with clear verification disclaimers.

FAQ

Sample Size Calculator

Can I trust the AI's sample size calculation?

What if I don't know my expected effect size?

What study designs are supported?

Why does it show a sensitivity matrix instead of one number?

Should I share actual patient data or research data when describing my dataset?

Which AI model works best with this prompt?