Doing Meta-Analysis with R
Harrer, Mathias / Cuijpers, Pim / Furukawa, Toshi / Ebert, David
This book 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.