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)