Power Analysis

Power Analysis is a medical productivity app that helps clinicians, researchers, and students design statistically sound studies in minutes. It is an all-in-one sample size calculator and power analysis tool for clinical research, biostatistics, and medical study design. Calculate sample size, statistical power, or detectable effect size for common tests including proportions, means, t tests, chi-square, and ANOVA. Interactive charts and side-by-side scenario comparisons reveal how alpha, power, allocation ratio, and effect size influence results. Prebuilt templates for clinical trials, diagnostic accuracy studies, and surveys streamline setup, while clear, plain-language guidance reduces mistakes and speeds protocol writing. Ideal for evidence-based practice, grant proposals, and hypothesis testing workflows.

1. Download and open the app, then sign in or continue as a guest and create a new project. 2. Choose what you need to compute sample size, power, or effect size and select the statistical test that fits your study design. 3. Enter key inputs such as alpha, desired power, effect size or baseline rates, allocation ratio, and any dropout assumptions. 4. Review the results, explore power and sample size curves, and compare multiple scenarios to balance feasibility and precision. 5. Save your analysis, export results to PDF or CSV, and share summaries for protocols, IRB submissions, or team review.