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

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 estimat...

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Published in:Journal of applied statistics 2022-09, Vol.49 (12), p.3178-3194
Main Authors: de Souza, Hayala Cristina Cavenague, Louzada, Francisco, Ramos, Pedro Luiz, de Oliveira Júnior, Mauro Ribeiro, Perdoná, Gleici da Silva Castro
Format: Article
Language:English
Subjects:
62Nxx
Application Notes
Bayesian analysis
Bayesian estimation
Cancer
Cervical cancer
cure rate
Other
Statistical methods
survival analysis
Weibull distribution
zero-inflation
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cited_by cdi_FETCH-LOGICAL-c473t-674b539fb7428b868cc701d78503edb811ad5f90fcdd2d2fffe46fb4ac36f9c93
cites cdi_FETCH-LOGICAL-c473t-674b539fb7428b868cc701d78503edb811ad5f90fcdd2d2fffe46fb4ac36f9c93
container_end_page 3194
container_issue 12
container_start_page 3178
container_title Journal of applied statistics
container_volume 49
creator de Souza, Hayala Cristina Cavenague
Louzada, Francisco
Ramos, Pedro Luiz
de Oliveira Júnior, Mauro Ribeiro
Perdoná, Gleici da Silva Castro
description 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.
doi_str_mv 10.1080/02664763.2021.1933923
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subjects 62Nxx
Application Notes
Bayesian analysis
Bayesian estimation
Cancer
Cervical cancer
cure rate
Other
Statistical methods
survival analysis
Weibull distribution
zero-inflation
title A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database
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