Bayesian data fusion: Probabilistic sensitivity analysis for unmeasured confounding using informative priors based on secondary data.

Comment, Leah; Coull, Brent A; Zigler, Corwin; Valeri, Linda

Comment, Leah; Coull, Brent A; Zigler, Corwin; Valeri, Linda.

Afiliação

Comment L; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Coull BA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Zigler C; Department of Statistics and Data Sciences, University of Texas, Austin, Texas.
Valeri L; Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York.

Biometrics ; 78(2): 730-741, 2022 06.

Article em En | MEDLINE | ID: mdl-33527348

Assuntos

Fatores de Confusão Epidemiológicos; Teorema de Bayes; Viés; Causalidade; Simulação por Computador; Humanos

Palavras-chave

causal inference; data fusion; g-formula; mediation; racial disparities; unmeasured confounding

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores de Confusão Epidemiológicos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google