Course Overview

Date: 24 - 25 March 2026
Time: 9.30am to 4.00pm - each day
Delivery Mode: In-Person ONLY
Location: UNSW Sydney, Kensington Campus
Course Requirements:
- Participants must have basic R skills prior to workshop. If you do not have basic R skills but want to do this short course, you can enrol in our Introduction to R short course.
- You will need to bring and use your own computer during the workshop with both R and RStudio installed.

You will receive a certificate of completion for the course.

This course offers a practical introduction to meta-analysis: statistical methods used in order to pool and synthesize results across multiple studies. It is designed for researchers and students who want to learn how to fit, check, interpret, and communicate results from meta-analyses. Through lectures and exercises, participants will gain hands-on experience with common meta-analytic models and tools, equipping them to apply these methods in their own research.

Course Outline

• Effect sizes and sampling variances
• Data extraction guidelines for meta-analysis
• The meta-analytical model
• Diagnosing a meta-analytical model
• Straightforward extensions to the meta-analytical model
• Introduction to network meta-analysis