16 Feb 2022 09:30am to 17 Feb 2022 01:00pm

Network meta-analysis (Summer School 2022 days 7 & 8a)

Event Location
Joanne completed her PhD with Monash University. Her research interests include methodological issues in meta-analysis of randomised trials with continuous outcomes, selective inclusion and reporting of results in randomised trials...
Dr Emily Karahalios
Emily completed a PhD at the University of Melbourne in 2014. Emily is involved in teaching and research at both institutions. Her research interests include methods to synthesise evidence from...

Network meta-analysis is an extension to pairwise meta-analysis that synthesizes evidence about the relative effects of many competing interventions in a single model. Network meta-analysis can also be used to estimate the ranking of the hierarchy of the interventions according to their safety or effectiveness. The method is now an integral statistical tool for evidence synthesis. However, a valid network meta-analysis relies on assumptions, and understanding these, and how to examine them, is critical to using the method.


In this first day of this two half-day workshop, we will begin with an introduction to network meta-analysis models, fitting the models, and a discussion of the key assumptions that underpin network meta-analysis.


In day 2, we will cover how to assess inconsistency in a network, presenting the results of a network meta-analysis and assessing the confidence in the findings using the web-based tool Confidence In NEtwork Meta-Analysis (CINEMA).


In the lectures, methods and concepts will be introduced. Breakout sessions will provide participants with an opportunity to discuss the concepts and implement the methods using the statistical package Stata. Our focus will be on network meta-analysis of the effects of interventions from randomised trials.



Target audience

This course is suitable for quantitative epidemiologists and applied statisticians working in health research.  It will be assumed that participants will have a working knowledge of the statistical package Stata, and have training or experience of pairwise meta-analysis, introductory statistics and multivariable regression. 



Stata version 14 or above installed.


The full timetable for this course will be released shortly.


Registration closes 5pm Monday 14th February

Register here