multiple-testing-correction

# 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 1. **Error Rate Selection**: Choose FWER vs FDR based on goals 2. **Method Selection**: Apply appropriate correction method 3. **Dependency Handling**: Account for test dependencies 4. **Interpretation**: Report adjusted p-values correctly ## Tools/Libraries - statsmodels - scipy.stats - multcomp (R) - multtest (R)