Applied Meta-analysis using R and STATA, 2nd Edition

Ding-Geng Chen, University of North Carolina at Chapel Hill
Karl E. Peace, Georgia Southern University, Jiann-Ping Hsu College of Public Health

© 2021 Copyright Chapman & Hall/CRC, Taylor and Francis Group

Abstract

Book co-authored by Georgia Southern faculty member Karl E. Peace.

Statistical Meta-Analysis with R and Stata, Second Edition provides a thorough presentation of statistical meta-analyses (MA) with step-by-step implementations using R/Stata. The authors develop analysis step by step using appropriate R/Stata functions, which enables readers to gain an understanding of meta-analysis methods and R/Stata implementation so that they can use these two popular software packages to analyze their own meta-data. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R/Stata packages and functions.