Doing meta-analysis with R : a hands-on guide
Author(s)
Bibliographic Information
Doing meta-analysis with R : a hands-on guide
CRC Press, Taylor & Francis Group, A Chapman & Hall Book, 2022
1st ed
- : hbk
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Note
Other authors: Pim Cuijpers, Toshi A. Furukawa, David D. Ebert
Includes bibliographical references and index
Description and Table of Contents
Description
* Contains two introductory chapters on how to set up an R environment and do basic imports/manipulation 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.
Table of Contents
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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