Network meta-analysis is a general term for the statistical method used to compare multiple treatments and their alternatives simultaneously. The method involves combining direct and indirect evidence in a single analysis, resulting in summary estimates of efficacy or safety for treatments that may not have been compared head-to-head in a randomized controlled trial. It is also known as mixed or indirect treatment comparisons.
The workshop will provide an overview of network meta-analysis and its applications, including demonstrations of worked examples using SAS and WinBUGs, and hands-on sessions where participants will work through real-world examples.
A third day has been added to this workshop (with a separate registration fee) that focuses on sessions discussing the rationale and application of integrating findings from network meta-analyses into health economic evaluations.