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

This repository contains the source code and materials for the book "Doing Meta-Analysis with R: A Hands-On Guide". The guide provides a non-expert level introduction to conducting meta-analyses using the R programming language.

Key topics covered include:

• Pooling outcome measures and forest plots
• Heterogeneity diagnostics and subgroup analyses
• Meta-regression
• Controlling for publication bias
• Risk of bias assessments and plotting tools
• Advanced topics: Network meta-analysis, multi-/three-level meta-analyses, Bayesian approaches, and SEM meta-analysis.

If you use the guide in your work, please cite it using the following format:

Harrer, M., Cuijpers, P., Furukawa, T.A., & Ebert, D.D. (2021). Doing Meta-Analysis with R: A Hands-On Guide. Boca Raton, FL and London: Chapmann & Hall/CRC Press. ISBN 978-0-367-61007-4.

BibTeX and .ris files are available for download via the provided links in the repository.

Harrer, M., Cuijpers, P., Furukawa, T.A., & Ebert, D.D. (2021). _Doing Meta-Analysis with R: A Hands-On Guide_. Boca Raton, FL and London: Chapmann & Hall/CRC Press. ISBN 978-0-367-61007-4.

The guide utilizes various R packages. If you use these packages for your own meta-analysis, it is encouraged to cite them. You can retrieve the preferred reference for any package used in the guide by running the following command in your R console:

citation("package")