Multiple Testing Correction

SkillDev tools

Multiple comparison correction methods

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Multiple Testing Correction skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/mathematics/skills/multiple-testing-correction/SKILL.md and read by ahel’s review.

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)

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: multiple-testing-correction
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter