Doing meta-analysis with R : a hands-on guide /
Mathias Harrer, [and 3 others].
- First edition.
- xxvi, 474 pages illustrations ; 24 cm.
Includes bibliographical references and index.
I. Getting started -- Introduction -- Discovering R -- II. Meta-analysis in R -- Effect sizes -- Pooling effect sizes -- Between-study heterogeneity -- Forest plots -- Subgroup analyses -- Meta-regression -- Publication bias -- III. Advanced methods -- "Multilevel" meta-analysis -- Structural equation modeling meta-analysis -- Network meta-analysis -- Bayesian meta-analysis -- IV. Helpful tools -- Power analysis -- Risk of bias plots -- Reporting and reproducibility -- Effect size calculation and conversion.
"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. 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. A companion R package, dmetar, is introduced in the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide"--