Introduction to meta-analysis in R

Link to the GitHub repo

Description

This is a short course on meta-analysis in R. The goal is to get the participants familiar with R code and to use it to perform a meta-analysis of published results. The materials are delivered in the form of a self-paced interactive course.

Objectives

• To get familiar with R as a tool for data analysis
• To apply basic arithmetic and statistics in R
• To learn how to perform meta-analysis in R using the metafore package

Pre-requisite

• Introduction to R (Data Camp Free Interactive Course)
• A GitHub, RStudio Cloud, and Data Camp accounts (Free)
• Reading Viechtbauer, 2010

Format

Each module is delivered in two steps

• practice/practice/: interactive exercises to introduce concepts
• homework/homework/: more exercises to test understanding

Outline

• Getting started in R
  • Practice (Link)
  • Homework (Link)
• Basic statistics in R
  • Practice (Link)
  • Homework (Link)
• Evaluating the effects of the BCG vaccine
  • Practice (Link)
  • Homework (Link)