000			02357nam a22002297a 4500
999			_c3520 _d3520
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008			221201b ||||| |||| 00| 0 eng d
020			_a9780367610074
082			_a610.727 _bHAR
100			_aHarrer, Mathias _910423
245			_aDoing meta-analysis with R: _ba hands-on guide
260			_bCRC Press _aBoca Raton _c2022
300			_axxvi, 474 p.
365			_aGBP _b68.99
504			_aTable 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.
520			_aBook Description 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
650			_aMeta-analysis _94498
650			_aR (Computer program language) _91512
700			_aCuijpers, Pim _910424
700			_aEbert, David Daniel _910425
942			_2ddc _cBK