
Following the launch of the new website, we are working on restructuring the Community and the Training sites.
Until this work is finished, some content you find here may still be relevant but some may be outdated.
Register for: Answering complex hierarchy questions in network meta-analysis
Answering complex hierarchy questions in network meta-analysis
Duration:
60 minutes
60 minutes
Agenda:
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.
Log in to registerNetwork 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.
Share