Agent-Skills.md

Agent Skills: Multiple Testing Correction

Multiple comparison correction methods

statistical-computingID: a5c-ai/babysitter/multiple-testing-correction

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

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Skill Metadata

Name
multiple-testing-correction
Description
Multiple comparison correction methods

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)