Statistical Power Analysis

소개

Statistical Power Analysis is a specialized tool for researchers that streamlines the determination of sample sizes and the evaluation of study robustness. It provides domain-specific guidance on complex parameters like effect sizes and alpha levels across various designs, including independent t-tests, ANOVA, and multiple regression. By integrating NIH rigor standards and sensitivity analysis, it empowers users to justify resource allocation in grant proposals, pre-register studies with confidence, and correctly interpret null results through retrospective evaluation.

주요 기능

• Code snippets for R (pwr package) and Python (statsmodels) integration
• 2 GitHub stars
• Comprehensive power calculations for parametric and non-parametric tests
• Sensitivity analysis for evaluating study adequacy across effect ranges
• Effect size estimation guidance based on literature and pilot data
• NIH-compliant sample size justification and rigor documentation

사용 사례

• Drafting sample size justifications for grant applications
• Evaluating the statistical adequacy of existing or published research
• Planning experimental recruitment to minimize participant burden