02764nam 22006135 450 991030025440332120221215052825.03-319-21416-010.1007/978-3-319-21416-0(CKB)3710000000486816(EBL)4178389(SSID)ssj0001585314(PQKBManifestationID)16263064(PQKBTitleCode)TC0001585314(PQKBWorkID)14865041(PQKB)10995824(DE-He213)978-3-319-21416-0(MiAaPQ)EBC4178389(PPN)190533951(EXLCZ)99371000000048681620151008d2015 u| 0engur|n|---|||||txtccrMeta-Analysis with R /by Guido Schwarzer, James R. Carpenter, Gerta Rücker1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (256 p.)Use R!,2197-5736Description based upon print version of record.3-319-21415-2 Includes bibliographical references and index.Part I Getting Started: An Introduction to Meta-Analysis in R -- Part II Standard Methods: Fixed Effect and Random Effects Meta-Analysis -- Meta-Analysis with Binary Outcomes -- Heterogeneity and Meta-Regression -- Part III Advanced Topics: Small-Study Effects in Meta-Analysis -- Missing Data in Meta-Analysis -- Multivariate Meta-Analysis -- Network Meta-Analysis -- Meta-Analysis of Diagnostic Test Accuracy Studies -- Further Information on R -- Index.This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: publication bias and small study effects; missing data; multivariate meta-analysis, network meta-analysis; and meta-analysis of diagnostic studies. .Use R!,2197-5736StatisticsBiometryR (Computer program language)Statistics.Biometry.R (Computer program language)610.72Schwarzer Guido755630Carpenter James RRücker GertaMiAaPQMiAaPQMiAaPQBOOK9910300254403321Meta-Analysis with R2525163UNINA