A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database

Autor(es)

de Souza, Hayala Cristina Cavenague ; Louzada, Francisco ; Ramos, Pedro Luiz ; de Oliveira Junior, Mauro Ribeiro ; Perdona, Gleici da Silva Castro

• Tipo de documento: Artigo Científico
• Fonte: Journal of Applied Statistics; v. 49, n. 12, p. 17-pg., 2021-06-02.

Resumo

This paper aims to discuss the Bayesian estimation approach for the zero-inflated cure class of models, which extends the standard cure model by accommodating zero-inflated data in the survival analysis context. A comprehensive simulation study is carried out to assess the performance of the estimation procedure. A new estimation methodology is illustrated using a real dataset related to women diagnosed with invasive cervical cancer in Brazil. (AU)

• Processo FAPESP: 17/25971-0 - Inferência estatística de sistemas complexos
• Beneficiário: Pedro Luiz Ramos
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado