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Identify and classify sources of between-study heterogeneity (clinical, methodological, statistical)
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SOC 職業分類に基づく
SOTA Performance Baseline Campaign — 5 strategies for systematically collecting, standardizing, and analyzing performance data across methods. Produces standardized comparison tables, progress curves, and headroom analysis.
Assess systematic biases in the evidence body — publication bias, reporting bias, and selective outcome reporting. Budget: 40 studies, 40 effect sizes, 40 web searches.
Track evidence accumulation over time — cumulative meta-analysis protocol design. Budget: 40 studies, 40 effect sizes, 30 web searches.
Design structured data extraction form for systematic meta-analysis data collection
Systematically extract effect sizes and conditions from papers for meta-analytic synthesis
Determine effect size types and calculation methods for meta-analytic synthesis
| 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 |
Systematically identify, classify, and prioritize potential sources of between-study heterogeneity for investigation via subgroup analysis and meta-regression.
study_characteristics: Study-level characteristics and covariateseffect_sizes: Extracted effect sizes showing variationmoderator_candidates: Pre-specified candidate moderator variablesClassified sources of heterogeneity with investigation priority and statistical analysis plan.