"Doing Meta-Analysis with R: A Hands-On Guide" serves as an accessible introduction into how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including 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, SEM meta-analysis are also covered.
The programming and statistical background covered in the book are kept at a non-expert level. A print version of this book has been published with Chapman & Hall/CRC Press (Taylor & Francis). The complete book can be accessed online for free.
For queries concerning the book, you can contact Mathias (firstname.lastname@example.org). We receive many content-related questions concerning meta-analyses in R each week, so please be aware that we may not be able to (quickly) respond.