Introduction to Network Meta-Analysis

Network meta-analysis allows one to simultaneously estimate relative effectiveness of multiple interventions, and has been described as part of the "next generation tool-kit" for evidence synthesis. It is used to inform health and care reimbursement and commissioning decisions. This course provides a practical introduction to NMA, from a team of statisticians, reviewers, and economists who have been at the forefront of developing methods for network meta-analysis over the last 20 years.

Dates 11 - 15 March 2024
Fee £550
Format Online
Audience Open to all applicants (prerequisites apply)

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This course aims to introduce network meta-analysis and show how the models can be estimated using R. Network meta-analysis (NMA) is a method that pools evidence from randomised controlled trials that compare two or more interventions, but where each trial may compare different interventions. NMA allows one to simultaneously estimate relative effectiveness for any pair of interventions in the evidence network.

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Nice mix of instructors with varied backgrounds. Optimal blend of theory and practicals. Very hands-on course - which is best way to learn. Nicely spread out over 5 days. Useful references and study material. Instructors very responsive to the queries that were posted.

Course feedback, March 2024

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Find out about the self-paced Materials & Recordings version of this course [UoB only].

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