Multiple testing correction
Multiple comparison correction methodsFrom its SKILL.md
npx -y skills add a5c-ai/babysitter --skill multiple-testing-correctionAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
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Multiple Testing Correction
Purpose
Provides multiple comparison correction methods for controlling error rates in simultaneous hypothesis testing.
Capabilities
- Bonferroni correction
- Holm-Bonferroni method
- Benjamini-Hochberg FDR control
- Sidak correction
- Permutation-based corrections
- Family-wise error rate control
Usage Guidelines
- Error Rate Selection: Choose FWER vs FDR based on goals
- Method Selection: Apply appropriate correction method
- Dependency Handling: Account for test dependencies
- Interpretation: Report adjusted p-values correctly
Tools/Libraries
- statsmodels
- scipy.stats
- multcomp (R)
- multtest (R)
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.