Meta-Analysis with R (Use R!)

This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: publication bias and small study effects; missing data; multivariate meta-analysis, network meta-analysis; and meta-analysis of diagnostic studies.

• Introduction to Meta-Analysis
• Applied Meta-Analysis with R (Chapman & Hall/CRC Biostatistics Series)
• Applied Survival Analysis Using R (Use R!)
• Practical Meta-Analysis (Applied Social Research Methods)
• R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
• Network Meta-Analysis for Decision-Making (Statistics in Practice)
• Modern Meta-Analysis: Review and Update of Methodologies
• Applied Predictive Modeling
• Handbook of Meta-analysis in Ecology and Evolution
• The Handbook of Research Synthesis and Meta-Analysis