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

Doing meta-analysis with R : a hands-on guide (1회 대출)

자료유형
단행본
개인저자
Harrer, Mathias.
서명 / 저자사항
Doing meta-analysis with R : a hands-on guide / Mathias Harrer ... [et al.].
발행사항
Boca Raton :   CRC Press/Taylor & Francis Group,   2022.  
형태사항
xxvi, 474 p. : ill. ; 24 cm.
ISBN
9780367610074 (hardback) 9780367619770 (paperback)
요약
"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"--
서지주기
Includes bibliographical references and index.
일반주제명
Meta-analysis. R (Computer program language).
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010 ▼a 2021017096
020 ▼a 9780367610074 (hardback)
020 ▼a 9780367619770 (paperback)
020 ▼z 9781003107347 (ebook)
035 ▼a (KERIS)BIB000016192957
040 ▼a 211029 ▼c 211029 ▼d 211009
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050 0 0 ▼a R853.M48 ▼b H37 2022
082 0 0 ▼a 610.727 ▼2 23
084 ▼a 610.727 ▼2 DDCK
090 ▼a 610.727 ▼b D657
245 0 0 ▼a Doing meta-analysis with R : ▼b a hands-on guide / ▼c Mathias Harrer ... [et al.].
260 ▼a Boca Raton : ▼b CRC Press/Taylor & Francis Group, ▼c 2022.
300 ▼a xxvi, 474 p. : ▼b ill. ; ▼c 24 cm.
504 ▼a Includes bibliographical references and index.
520 ▼a "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"-- ▼c Provided by publisher.
650 0 ▼a Meta-analysis.
650 0 ▼a R (Computer program language).
700 1 ▼a Harrer, Mathias.
945 ▼a ITMT

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고7층/ 청구기호 610.727 D657 등록번호 111865085 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

1. Introduction. 2.Discovering R. 3. Effect Sizes. 4. Pooling Effect Sizes. 5. Between-Study Heterogeneity. 6. Forest Plots. 7. Subgroup Analyses. 8. Meta-Regression. 9. Publication Bias. 10. "Multilevel" Meta-Analysis. 11. Structural Equation Modeling Meta-Analysis. 12. Network Meta-Analysis. 13. Bayesian Meta-Analysis. 14. Power Analysis. 15. Risk of Bias Plots. 16. Reporting & Reproducibility. 17. Effect Size Calculation & Conversion.

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