Evidence Synthesis: From Pairwise To Network Comparisons 2025
How do policy makers and research funders decide where they should invest?
They look at the existing evidence first!
Course dates: 2nd and 3rd March 2026 at the University of Glasgow
This course is for systematic reviewers, statisticians, health economists, and decision modellers who are interested in understanding and applying pairwise meta-analysis, network meta-analysis and extensions in healthcare evaluation. It is an in-person course in Glasgow, consisting of lectures interspersed with practical exercises using freely-available online apps such as MetaInsight and MetaPairwise developed by the Complex Reviews Synthesis Unit (CRSU).
Faculty
The faculty comprises highly experienced evidence synthesis experts including:
- Professor Olivia Wu
- Professor Neil Hawkins
- Professor Alex Sutton
- Professor Nicola Cooper
- Professor Terry Quinn
- Dr Suzanne Freeman
Course structure
Day 1 focuses on framing the question, GRADE, risk of bias, pooling of data in the context of pairwise meta-analysis and introduction to and critique of network meta-analysis (NMA).
Day 2 will dive deeper with practical NMA, meta-regression, underlying assumptions, reporting NMA and introduce more advanced NMA concepts including component network meta-analysis.
Fees
Cost if registered before 31st January 2026
- £900 private sector
- £600 academic and public sector
- £400 students
Registration after 1st February 2026
- £1000 private sector
- £700 academic and public sector
- £450 students