meta-analysis-engine

Solid

Skill for conducting meta-analyses of research findings

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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Skill Content

# Meta-Analysis Engine Skill ## Purpose Conduct meta-analyses to synthesize effect sizes across studies and estimate pooled effects with heterogeneity assessment. ## Capabilities - Extract effect sizes - Calculate pooled estimates - Assess heterogeneity - Perform subgroup analyses - Generate forest plots - Evaluate publication bias ## Usage Guidelines 1. Extract study data 2. Calculate effect sizes 3. Pool estimates 4. Assess heterogeneity 5. Perform subgroup analyses 6. Evaluate bias ## Process Integration Works within scientific discovery workflows for: - Systematic reviews - Evidence synthesis - Research summarization - Effect estimation ## Configuration - Effect size metrics - Pooling methods - Heterogeneity tests - Visualization options ## Output Artifacts - Pooled estimates - Forest plots - Heterogeneity statistics - Bias assessments

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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