Bayesian Hierarchical Models Combining Different Study Types and Adjusting for Covariate Imbalances: A Simulation Study to Assess Model Performance

BACKGROUND: Bayesian hierarchical models have been proposed to combine evidence from different types of study designs. However, when combining evidence from randomised and non-randomised controlled studies, imbalances in patient characteristics between study arms may bias the results. The objective...

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Detalles Bibliográficos
Autores principales: McCarron, C. Elizabeth, Pullenayegum, Eleanor M., Thabane, Lehana, Goeree, Ron, Tarride, Jean-Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3189931/
https://www.ncbi.nlm.nih.gov/pubmed/22016772
http://dx.doi.org/10.1371/journal.pone.0025635

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3189931/
https://www.ncbi.nlm.nih.gov/pubmed/22016772
http://dx.doi.org/10.1371/journal.pone.0025635

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