Abstract
Effect modification (EM) causes bias in network meta-analyses (NMA) if EM varies across treatments in the network. Several methods have been developed, dealing with EM in NMAs when aggregated data (AgD) is available for at least one trial in the network. These methods typically make the shared effect modification assumption (SEMA) and disregard the available information the EM contains on the relative treatment effect (RTE) in the AgD trials. The SEMA is debatable, especially when comparing different classes of therapies.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
