This hub focuses on practical study planning tools, starting with sample-size and power estimation workflows that explain formulas and assumptions in plain language.
Statistics Calculators
Modular, educational statistics tools built to help you estimate sample size, understand power, and compare study-design assumptions without hiding the math.
How To Use These Tools Responsibly
Start by selecting the mode that matches your endpoint type: proportion, mean, comparison, or achieved power. Then enter assumptions that are realistic for your context, not ideal-case guesses.
Treat outputs as planning estimates and run sensitivity checks before collecting data. If assumptions are uncertain, compare multiple scenarios so your recruitment plan remains practical under less favorable conditions.
For high-impact decisions, regulated studies, or complex designs, escalate to qualified statistical review. Educational calculators are useful accelerators, but design validity still depends on protocol quality and assumptions.
Frequently Asked Questions
No. These calculators are educational and are best used as a starting point before protocol-level review for high-stakes, regulated, or complex designs.
Sample-size results are highly sensitive to effect size, variance, alpha, power, and dropout assumptions. Small assumption changes can shift required sample materially.
Yes. This hub is designed to expand with additional confidence-interval, hypothesis-testing, and study-design calculators over time.