Identify and classify sources of between-study heterogeneity (clinical, methodological, statistical)
Scanned 5/27/2026
Install via CLI
Skills Directoryopenskills install yogsoth-ai/de-anthropocentric-research-engine---
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.
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Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review...
