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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...

Ausführliche Beschreibung

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Veröffentlicht in:BMC Med Res Methodol
Hauptverfasser: Groenwold, Rolf H. H., Shofty, Inbal, Miočević, Milica, van Smeden, Maarten, Klugkist, Irene
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2018
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6303957/
https://ncbi.nlm.nih.gov/pubmed/30577773
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-018-0634-3
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