Calculate statistical power and sample sizes for RCTs. Use when user mentions: power analysis, sample size calculation, minimum detectable effect, MDE, statistical power, effect size, clustering effects, design effect, ICC, intra-cluster correlation.
The exact command may vary by repository. Check the README on GitHub.
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<skill_content>
<overview>
Power analysis determines the sample size required to detect treatment effects of a given magnitude with specified probability. Adequate power prevents Type II errors (failing to detect real effects). Power calculations must account for clustering (design effects), non-compliance (reduces effective sample), attrition (reduces final sample), and multiple testing (inflates α). Underpowered studies waste resources and risk being misinterpreted as evidence of no effect.
[Description truncada. Veja o README completo no GitHub.]
