TY  - BOOK
AU  - Harrer,Mathias
AU  - Cuijpers,Pim
AU  - Furukawa,Toshi A.
AU  - Ebert,David D.
TI  - Doing meta-analysis with R: a hands-on guide 
SN  - 9780367610074
AV  - R853.M48 H37 2022
U1  - 610.727 23
PY  - 2022///
CY  - Boca Raton, Florida
PB  - CRC Press
KW  - Meta-analysis
KW  - R (Computer program language)
N1  - 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
N2  - "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"--
ER  -