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

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Author(s):	de Souza, Hayala Cristina Cavenague ; Louzada, Francisco ; Ramos, Pedro Luiz ; de Oliveira Junior, Mauro Ribeiro ; Perdona, Gleici da Silva Castro Total Authors: 5
Document type:	Journal article
Source:	Journal of Applied Statistics; v. 49, n. 12, p. 17-pg., 2021-06-02.
Abstract
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)

FAPESP's process:	17/25971-0 - Statistical inference of complex systems
Grantee:	Pedro Luiz Ramos
Support Opportunities:	Scholarships in Brazil - Post-Doctoral