Doing meta-analysis with R: a hands-on guide

"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 bia...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Harrer, Mathias (VerfasserIn), Cuijpers, Pim 1956- (VerfasserIn), Furukawa, Toshi A. (VerfasserIn), Ebert, David Daniel 1979- (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Boca Raton ; London ; New York CRC Press 2022
Ausgabe:First edition
Schlagworte:
Zusammenfassung:"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"--
Beschreibung:Includes bibliographical references and index
Beschreibung:xxvi, 474 Seiten Illustrationen, Diagramme
ISBN:9780367610074
9780367619770

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