Meta Analysis with 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 Part I Getting Started: An Introduction to Meta Analysis in R Part II Standard Methods: Fixed Effect and Random Effects Meta Analysis Meta Analysis with Binary Outcomes Heterogeneity and Meta Regression Part III Advanced Topics: Small Study Effects in Meta Analysis Missing Data in Meta Analysis Multivariate Meta Analysis Network Meta Analysis Meta Analysis of Diagnostic Test Accuracy Studies Further Information on R Index