{"product_id":"doing-metaanalysis-with-r-9780367610074","title":"Doing MetaAnalysis with R","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eDoing Meta-Analysis with R: A Hands-On Guide\u003c\/strong\u003e 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, \u003ci\u003edmetar\u003c\/i\u003e, is introduced at the beginning of the guide. It contains data sets and several helper functions for the \u003ci\u003emeta\u003c\/i\u003e and \u003ci\u003emetafor\u003c\/i\u003e package used in the guide. \u003c\/p\u003e\u003cp\u003eThe programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. \u003c\/p\u003e\u003cb\u003e\u003c\/b\u003e\u003cp\u003e\u003cb\u003eFeatures\u003c\/b\u003e\u003cbr\u003e Contains two introductory chapters on how to\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\"I would recommend this book if you are interested in a resource for conducting and interpreting metaanalysis methods and use R as your primary programming language.\"\u003c\/p\u003e\u003cp\u003e- \u003cstrong\u003eCharlotte Bolch\u003c\/strong\u003e, ISCB News, September 2022. \u003c\/p\u003e\u003cp\u003e\"This text is instrumental in effectively completing a meta-analysis. Full stop. It is particularly profitable for the adept use of R to calculate and analyze effect sizes from basic to more advanced models.\"\u003c\/p\u003e\u003cp\u003e- \u003cstrong\u003eChristopher J. Lortie\u003c\/strong\u003e, Journal of Statistical Software, May 2022.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e1. 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 \u0026amp; Reproducibility. 17. Effect Size Calculation \u0026amp; Conversion.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":51017974808919,"sku":"9780367610074","price":73.14,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780367610074.jpg?v=1750775249","url":"https:\/\/bookcurl.com\/products\/doing-metaanalysis-with-r-9780367610074","provider":"Book Curl","version":"1.0","type":"link"}