multiple-testing-correction

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Multiple comparison correction methods

General

What this skill does


# 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)

Files: 1

Size: 0.9 KB

Complexity: 8/100

Category: General

Source: https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/mathematics/skills/multiple-testing-correction

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