statistical-power

SUMMARY

What it does

A skill for sample-size and statistical power calculations used in study planning. It supports a priori power analysis, minimum detectable effect (MDE), power curves, and sample size justification for grants, IRB protocols, or pre-registration. It covers closed-form power for common tests (t-tests, ANOVA, proportions, correlations, chi-square, regression) and simulation-based (Monte Carlo) power for designs without formulas (logistic/Poisson regression, mixed models, cluster-randomized trials, survival, interactions). The skill includes guidance on effect size selection, sensitivity analysis, adjustments for multiple comparisons, attrition, and clustering, and provides reporting templates. It is intended for use before data collection; for study design layout use experimental-design, and for analyzing collected data use statistical-analysis.