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Babysitter multiple-testing-correction

Multiple comparison correction methods

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/mathematics/skills/multiple-testing-correction" ~/.claude/skills/a5c-ai-babysitter-multiple-testing-correction && rm -rf "$T"
manifest: library/specializations/domains/science/mathematics/skills/multiple-testing-correction/SKILL.md
tags
#statistical-analysis#hypothesis-testing#p-value-correction#error-rate-control#data-science
source content

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)