The book "Doing Meta-Analysis with R – A Hands-On Guide" by Mathias Harrer, Pim Cuijpers, Toshi A. Furakawa, and David D. Ebert is a comprehensive and practical resource for conducting meta-analyses using the R programming language. The book is structured into four main sections: getting started in R, performing a meta-analysis, advanced models, and helpful tools. Each section is divided into well-organized chapters that cover fundamental to advanced meta-analysis techniques, including data handling, aggregation, heterogeneity exploration, visualization, and model building. The book includes detailed explanations, code examples, and visual aids, making it accessible to both beginners and advanced users. It also addresses contemporary methods such as network meta-analysis and Bayesian meta-analysis. The authors provide clear and logical step-by-step guidance, along with practical tips and common pitfalls, ensuring that readers can effectively apply meta-analysis to their data. The book is praised for its clarity, practicality, and comprehensive coverage, making it an essential resource for researchers in various fields.The book "Doing Meta-Analysis with R – A Hands-On Guide" by Mathias Harrer, Pim Cuijpers, Toshi A. Furakawa, and David D. Ebert is a comprehensive and practical resource for conducting meta-analyses using the R programming language. The book is structured into four main sections: getting started in R, performing a meta-analysis, advanced models, and helpful tools. Each section is divided into well-organized chapters that cover fundamental to advanced meta-analysis techniques, including data handling, aggregation, heterogeneity exploration, visualization, and model building. The book includes detailed explanations, code examples, and visual aids, making it accessible to both beginners and advanced users. It also addresses contemporary methods such as network meta-analysis and Bayesian meta-analysis. The authors provide clear and logical step-by-step guidance, along with practical tips and common pitfalls, ensuring that readers can effectively apply meta-analysis to their data. The book is praised for its clarity, practicality, and comprehensive coverage, making it an essential resource for researchers in various fields.