Tailoring capture-recapture methods to estimate registry-based case counts based on error-prone diagnostic signals.

Ge, Lin; Zhang, Yuzi; Ward, Kevin C; Lash, Timothy L; Waller, Lance A; Lyles, Robert H

Ge, Lin; Zhang, Yuzi; Ward, Kevin C; Lash, Timothy L; Waller, Lance A; Lyles, Robert H.

Afiliación

Ge L; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Zhang Y; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Ward KC; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Lash TL; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Waller LA; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Lyles RH; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.

Stat Med ; 42(17): 2928-2943, 2023 07 30.

Article en En | MEDLINE | ID: mdl-37158167

Asunto(s)

Neoplasias de la Mama; Recurrencia Local de Neoplasia; Humanos; Femenino; Teorema de Bayes; Sistema de Registros; Neoplasias de la Mama/diagnóstico; Neoplasias de la Mama/epidemiología; Monitoreo Epidemiológico

Palabras clave

cancer recurrence; credible interval; misclassification; multiple imputation; non-representativeness; surveillance

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Recurrencia Local de Neoplasia Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans Idioma: En Revista: Stat Med Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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