A new approach to evaluating loop inconsistency in network meta-analysis

Network meta-analysis relies on an assumption of consistency, meaning that direct and indirect evidence should agree for each treatment comparison. Existing tests for inconsistency do not handle treatments symmetrically and global tests based on a design-by-treatment interaction approach lack power. In this Cochrane Learning Live webinar, Becky Turner will describe a new approach to evaluating inconsistency and demonstrate its application to three example networks.

The session will consist of a presentation followed by a Q&A and is aimed at statisticians with an interest in network meta-analysis.

Presenter Bio

Becky Turner is a statistician based at the MRC Clinical Trials Unit at UCL in London, working on meta-analysis and trials methodology.

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Thursday, 9 June 2022, 08:00 UTC [Check the time in your time zone] SIGN UP HERE