02836cam a2200421 i 4500 22070996 CSPC 20250716165052.0 210607s2021 flu b 001 0 eng 2021017096 9780367610074 (hardback) 22070996 DLC eng DLC rda DLC CSPC pcc R853.M48 H37 2022 610.727 H235d 23 Harrer, Mathias, author. Doing meta-analysis with R : a hands-on guide / Mathias Harrer, [and 3 others]. First edition. Boca Raton, Florida : CRC Press, 2022. xxvi, 474 pages illustrations ; 24 cm. text txt rdacontent unmediated n rdamedia volume nc rdacarrier 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"-- Provided by publisher. Meta-analysis. R (Computer program language). Cuijpers, Pim, author. Furukawa, Toshi A., author. Ebert, David D., author. Online version : Harrer, Mathias. Doing meta-analysis with R First edition. Boca Raton : CRC Press, 2021 9780367619770 (DLC) 2021017097 7 cbc orignew 1 ecip 20 y-gencatlg ddc BK 23 610.727 H235d CIR 2022 0 0 0 ddc 0 0 CSPC CSPC CIR 2025-07-16 0 CIR 610.727 H235d 2022 029689 2025-07-16 16:01:41 1-1 2025-07-16 BK 29756 29756