---

＜電子ブック＞
Meta-Analysis with R / by Guido Schwarzer, James R. Carpenter, Gerta Rücker
(Use R!. ISSN:21975744)

版	1st ed. 2015.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2015
本文言語	英語
大きさ	XII, 252 p. 58 illus., 4 illus. in color : online resource
著者標目	*Schwarzer, Guido author Carpenter, James R author Rücker, Gerta author SpringerLink (Online service)
件　名	LCSH:Biometry LCSH:Social sciences -- Statistical methods  全ての件名で検索 FREE:Biostatistics FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
一般注記	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. HTTP:URL=https://doi.org/10.1007/978-3-319-21416-0

 類似資料