The aim of this course is to introduce network meta-analysis and show how the models can be estimated using Stata. Network meta-analysis (NMA) is a method that pools evidence from randomised controlled trials that compare two or more treatments, but where each trial may compare different treatments. NMA allows one to simultaneously estimate relative effectiveness for any pair of treatments in the evidence network.
By the end of the course participants should be able to:
- understand what indirect comparisons and network meta-analysis (NMA) are and why they are used;
- perform indirect comparisons using Stata;
- perform network meta-analysis using Stata, with continuous and dichotomous data;
- understand the assumptions made in NMA and use Stat to examine consistency;
- be aware of different techniques to present the results from NMA;
- be able to critically appraise a paper that uses NMA.