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Bayesian semi-parametric inference for clustered recurrent events with zero inflation and a terminal event.
Tian, Xinyuan; Ciarleglio, Maria; Cai, Jiachen; Greene, Erich J; Esserman, Denise; Li, Fan; Zhao, Yize.
Afiliación
  • Tian X; Department of Biostatistics, Yale University, New Haven, CT, USA.
  • Ciarleglio M; Department of Biostatistics, Yale University, New Haven, CT, USA.
  • Cai J; Department of Biostatistics, Yale University, New Haven, CT, USA.
  • Greene EJ; Department of Biostatistics, Yale University, New Haven, CT, USA.
  • Esserman D; Department of Biostatistics, Yale University, New Haven, CT, USA.
  • Li F; Department of Biostatistics, Yale University, New Haven, CT, USA.
  • Zhao Y; Department of Biostatistics, Yale University, New Haven, CT, USA.
J R Stat Soc Ser C Appl Stat ; 73(3): 598-620, 2024 Jun.
Article en En | MEDLINE | ID: mdl-39072299
ABSTRACT
Recurrent events are common in clinical studies and are often subject to terminal events. In pragmatic trials, participants are often nested in clinics and can be susceptible or structurally unsusceptible to the recurrent events. We develop a Bayesian shared random effects model to accommodate this complex data structure. To achieve robustness, we consider the Dirichlet processes to model the residual of the accelerated failure time model for the survival process as well as the cluster-specific shared frailty distribution, along with an efficient sampling algorithm for posterior inference. Our method is applied to a recent cluster randomized trial on fall injury prevention.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J R Stat Soc Ser C Appl Stat Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J R Stat Soc Ser C Appl Stat Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido