An investigation of the impact of using different methods for network meta-analysis: a protocol for an empirical evaluation

An investigation of the impact of using different methods for network meta-analysis: a protocol for an empirical evaluation

Abstract Background Network meta-analysis, a method to synthesise evidence from multiple treatments, has increased in popularity in the past decade. Two broad approaches are available to synthesise data across networks, namely, arm- and contrast-synthesis models, with a range of models that can be f...

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Bibliographic Details
Main Authors: Amalia (Emily) Karahalios, Georgia Salanti, Simon L. Turner, G. Peter Herbison, Ian R. White, Areti Angeliki Veroniki, Adriani Nikolakopoulou, Joanne E. Mckenzie
Format: Article
Language:English
Published: BMC 2017-06-01
Series:Systematic Reviews
Subjects:
Network meta-analysis
Mixed-treatment comparison
Indirect treatment comparison
Heterogeneity
Arm-based
Contrast-based
Online Access:http://link.springer.com/article/10.1186/s13643-017-0511-x

Internet

http://link.springer.com/article/10.1186/s13643-017-0511-x

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