pairwise-ma-methodology

Features and purpose

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.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.