Adjustment for unmeasured confounding through informative priors for the confounder-outcome relation

BACKGROUND: Observational studies of medical interventions or risk factors are potentially biased by unmeasured confounding. In this paper we propose a Bayesian approach by defining an informative prior for the confounder-outcome relation, to reduce bias due to unmeasured confounding. This approach...

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Detalles Bibliográficos
Autores principales: Groenwold, Rolf H. H., Shofty, Inbal, Miočević, Milica, van Smeden, Maarten, Klugkist, Irene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303957/
https://www.ncbi.nlm.nih.gov/pubmed/30577773
http://dx.doi.org/10.1186/s12874-018-0634-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303957/
https://www.ncbi.nlm.nih.gov/pubmed/30577773
http://dx.doi.org/10.1186/s12874-018-0634-3

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