- Main
- Mathematics
- Doing Meta-Analysis with R: A Hands-On...
Doing Meta-Analysis with R: A Hands-On Guide
Mathias Harrer, Pim Cuijpers, Toshi A. Furukawa, David D. EbertDoing 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
- 다운로드
- pdf 17.74 MB Current page
- Checking other formats...
- (으)로 변환하기
- 용량이 8 MB를 초과하는 파일들의 변환 잠금을 해제하십시오Premium
1~5분 이내로 파일이 사용자님의 Telegram 계정으로 전송될 것입니다.
주의: 자신의 계정이 Z-Library Telegram 봇과 연결되어 있는지 확인하십시오.
1~5분 이내로 파일이 사용자님의 Kindle 기기로 전송될 것입니다.
비고: Kindle로 보내시는 책은 모두 확인해 보실 필요가 있습니다. 메일함에 Amazon Kindle Support로부터 확인 메일이 도착했는지 메일함을 점검해 보시기 바랍니다.