Проведение метаанализа с помощью R: практическое руководство, 1-е издание – ОРИГИНАЛ PDF 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 цель и 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.

Особенности
• 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