Bayesian analysis of survival data with missing censoring indicators.

Brownstein, Naomi C; Bunn, Veronica; Castro, Luis M; Sinha, Debajyoti

Brownstein, Naomi C; Bunn, Veronica; Castro, Luis M; Sinha, Debajyoti.

Afiliación

Brownstein NC; Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, Florida.
Bunn V; Department of Department of Oncologic Sciences, University of South Florida, Tampa, Florida.
Castro LM; Department of Behavioral Sciences and Social Medicine, Florida State University, Tallahassee, Florida.
Sinha D; Department of Statistics, Florida State University, Tallahassee, Florida.

Biometrics ; 77(1): 305-315, 2021 03.

Article en En | MEDLINE | ID: mdl-32282929

Asunto(s)

Teorema de Bayes; Simulación por Computador; Femenino; Humanos; Masculino; Probabilidad; Modelos de Riesgos Proporcionales; Medición de Riesgo; Análisis de Supervivencia

Palabras clave

interim event adjudication; missing data; proportional hazards; semiparametric Bayes; time-to-event

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Teorema de Bayes Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: Biometrics Año: 2021 Tipo del documento: Article

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google