Hierarchical network meta-analysis models for synthesis of evidence from randomised and non-randomised studies

Hierarchical network meta-analysis models for synthesis of evidence from randomised and non-randomised studies

Abstract Background With the increased interest in the inclusion of non-randomised data in network meta-analyses (NMAs) of randomised controlled trials (RCTs), analysts need to consider the implications of the differences in study designs as such data can be prone to increased bias due to the lack o...

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Bibliographic Details
Main Authors: Humaira Hussein, Keith R. Abrams, Laura J. Gray, Sumayya Anwer, Sofia Dias, Sylwia Bujkiewicz
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BMC Medical Research Methodology
Subjects:
Real world evidence
Evidence synthesis
Hierarchical models
Bias adjustment
Online Access:https://doi.org/10.1186/s12874-023-01925-5

Internet

https://doi.org/10.1186/s12874-023-01925-5

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