pairwise-ma-methodology

Name: pairwise-ma-methodology
Rating: 5 (4 reviews)
Author: choxos

Deep methodology knowledge for pairwise meta-analysis including fixed vs random effects, heterogeneity assessment, publication bias, and sensitivity analysis. Use when conducting or reviewing pairwise MA.

4estrellas

Actualizado hace 15 días

Ver en GitHub ↗Licencia: MIT

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Pairwise Meta-Analysis Methodology

Comprehensive methodological guidance for conducting rigorous pairwise meta-analysis following Cochrane and PRISMA guidelines.

When to Use This Skill

Planning a pairwise meta-analysis
Choosing between fixed and random effects models
Interpreting heterogeneity statistics
Assessing publication bias
Designing sensitivity analyses
Reviewing pairwise MA code or results

Fixed vs Random Effects

Decision Framework

Are studies functiona

[Description truncada. Veja o README completo no GitHub.]

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