In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, Applied Meta-Analysis with R shows how to implement statistical meta-analysis methods to real data using R. Drawing on their extensiv

chapter 1|29 pages

Introduction to R

chapter 2|12 pages

Research Protocol for Meta-Analyses

chapter 4|53 pages

Meta-Analysis with Binary Data

chapter 5|27 pages

Meta-Analysis for Continuous Data

chapter 6|24 pages

Heterogeneity in Meta-Analysis

chapter 7|36 pages


chapter 9|22 pages

Meta-Analysis for Rare Events

chapter 10|21 pages

Other R Packages for Meta-Analysis