a hands-on guide Harrer, Mathias creator author. Cuijpers, Pim author. Furukawa, Toshi A. author. Ebert, David D. author. text bibliography flu 2021 First edition. monographic eng

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xxvi, 474 pages illustrations ; 24 cm. "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"-- 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. Mathias Harrer, [and 3 others]. Includes bibliographical references and index. Meta-analysis R (Computer program language) R853.M48 H37 2022 610.727 H235d Harrer, Mathias. Boca Raton : CRC Press, 2021 First edition. (DLC) 2021017097 9780367610074 2021017096 DLC 210607 20250716165052.0 22070996 eng