Doing Meta-Analysis with R: A Hands-On Guide

🤖 Plain-English Summary

Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible.

🔑 Key Findings

• Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools.
• Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered.
• A companion R package, dmetar, is introduced at the beginning of the guide.

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