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
  1. Fill in your study design, primary outcome type, and target statistical power.
  2. Click AI Run — receive sample size calculations with sensitivity analysis directly in the chat.
  3. Adjust assumptions and ask for recalculations or alternative scenario comparisons.
Medical Research Assistant
Fill in variables and run directly with AI
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