eBook: Doing Meta-Analysis with R: A Hands-On Guide (DRM EPUB)
 
電子書格式: DRM EPUB
作者: Mathias Harrer, Pim Cuijpers, Toshi A. Furukawa, David D. Ebert 
分類: Psychological theory & schools of thought ,
Psychological methodology ,
Probability & statistics  
書城編號: 22641831


售價: $877.00

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製造商: CRC Press
出版日期: 2021/09/15
頁數: 474
ISBN: 9781000435719

商品簡介
Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and 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 and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises Describes statistical concepts clearly and concisely before applying them in R Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book

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