In part 1, I discussed how to get set up for meta-analysis in R, by installing the necessary software and libraries. In this post, I will take the reader through the steps for performing meta-analysis of binary data in R.

When I am teaching about meta-analysis on the EVIT course, I often moan about the inflexibility of Cochrane’s Revman software and am asked what I use to perform my meta-analyses. My pechant for open-source software led me to use the R statistical environment. In this series of blog posts, that I will update over the […]