Adjustment for unmeasured confounding through informative priors for the confounder-outcome relation
Abstract 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 a...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2018-12-01
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| coleção: | BMC Medical Research Methodology |
| Assuntos: | |
| Acesso em linha: | http://link.springer.com/article/10.1186/s12874-018-0634-3 |
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