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Heterogeneity Source Analysis

ASecurity

Identify and classify sources of between-study heterogeneity (clinical, methodological, statistical)

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  • Added May 27, 2026
research

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  • cli

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Scanned May 27, 2026

npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill heterogeneity-source-analysis --agent claude-code

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SKILL.md
---
name: heterogeneity-source-analysis
description: Identify and classify sources of between-study heterogeneity (clinical, methodological, statistical)
execution: subagent
prompt: ./prompt.md
input: study_characteristics, effect_sizes, moderator_candidates
used-by: meta-analysis
---

# Heterogeneity Source Analysis SOP

Systematically identify, classify, and prioritize potential sources of between-study heterogeneity for investigation via subgroup analysis and meta-regression.

## When to Use

- When meta-analysis reveals substantial heterogeneity (I2 > 50%)
- During planning of subgroup analyses and meta-regression
- When assessing the transitivity assumption in network meta-analysis

## Input

- `study_characteristics`: Study-level characteristics and covariates
- `effect_sizes`: Extracted effect sizes showing variation
- `moderator_candidates`: Pre-specified candidate moderator variables

## Output

Classified sources of heterogeneity with investigation priority and statistical analysis plan.

Files in this skill

  • SKILL.md1013 B
  • prompt.md4.5 KB

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