multiple-testing-correction

Research

Multiple comparison correction methods

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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)