Network meta-analysis estimates all relative effects between competing treatments and can produce a treatment hierarchy from the most to the least desirable option according to a health outcome. While about half of the published network meta-analyses present such a hierarchy, it is rarely the case that it is related to a clinically relevant decision question.
This Cochrane Learning Live webinar will present a stepwise approach to express clinically relevant decision questions as hierarchy questions and quantify the uncertainty of the criteria that constitute them. The approach to using the R package nmarank, available in CRAN will be demonstrated.
This session is aimed at anyone interested in undertaking a systematic review that includes a network meta-analysis. It will consist of a presentation and a live demo of implementing the method in R followed by a Q&A.
Adriani Nikolakopoulou is a statistician based at the Institute of Medical Biometry and Statistics at the University of Freiburg in Germany. She is working on developing methodology for meta-analysis.
You will need a Cochrane Account to register for this webinar. If you don’t have a Cochrane Account you will be able to register for free on the following page. You will be able to use this account for all future activity. A brief guidance on how to sign up using your Cochrane Account is available here and if you have any problems, please contact email@example.com