Doing Meta-Analysis with R: A Hands-On Guide

Doing Meta-Analysis with R: A Hands-On Guide provides an accessible introduction to conducting meta-analyses in R, covering essential steps such as calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, and methods to control for publication bias. Advanced topics like network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches, and SEM meta-analysis are also covered.

Format: Hardback
Length: 474 pages
Publication date: 13 September 2021
Publisher: Taylor & Francis Ltd

Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction to conducting meta-analyses in R. It covers essential steps such as calculating and pooling outcome measures, creating forest plots, diagnosing heterogeneity, performing subgroup analyses, conducting meta-regression, addressing publication bias, conducting risk of bias assessments, and utilizing plotting tools. Additionally, the book delves into advanced topics like network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches, and SEM meta-analysis.

The programming and statistical background covered in the book is designed to be accessible to individuals with a non-expert level of knowledge. This makes the book widely applicable to a broad range of researchers and practitioners interested in meta-analysis.

Key Features:

• Two introductory chapters provide step-by-step guidance on setting up an R environment and performing basic imports/manipulations of meta-analysis data, including exercises.


• Statistical concepts are explained clearly and concisely before being applied in R, ensuring a solid understanding of the underlying principles.


• Step-by-step guidance is provided through the coding required to perform meta-analyses, making it easier for readers to follow along and apply the techniques.


• 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 packages used in the book.

By utilizing the comprehensive coverage and accessible language of Doing Meta-Analysis with R: A Hands-On Guide, researchers and practitioners can gain a solid foundation in conducting meta-analyses using R. Whether you are new to meta-analysis or seeking to enhance your skills, this book is an invaluable resource for your research endeavors.

Weight: 908g
Dimension: 163 x 243 x 34 (mm)
ISBN-13: 9780367610074