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tooluniverse-meta-analysis
Meta-analysis / evidence synthesis — pool effect sizes across studies (odds ratios, risk ratios, hazard ratios, mean differences, correlations, GWAS betas) with fixed- or random-effects models, quantify heterogeneity (Q, I², τ²), and build a forest plot. Use when you have results from MULTIPLE studies and need a single pooled estimate, or to synthesize evidence from a systematic review / multiple GWAS / replicated experiments. Handles the error-prone effect-size + standard-error preparation (converting OR/HR/CI, two-group means±SD, proportions, and correlations into the (effect, SE) the pooling step needs).
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# Meta-Analysis & Evidence Synthesis
Pool quantitative results from **multiple studies** into one estimate, and judge how consistent the studies are. This is the statistical half of a systematic review (the literature-collection half is `tooluniverse-literature-deep-research`).
## When to use this
- You have effect sizes from ≥2 studies/cohorts and want a single pooled estimate + CI.
- Synthesizing a systematic review, replicated experiments, multi-cohort GWAS, or multi-dataset associations.
- Deciding whether studies agree (low heterogeneity) or conflict (high heterogeneity).
Do NOT use it to *find* the studies — use `tooluniverse-literature-deep-research` / the literature tools for that, then bring the extracted numbers here. Before trusting any input study, consider checking it with `Crossref_check_retraction`.
## The workflow
