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

Hayala Cristina Cavenague de Souza, Francisco Louzada, Pedro Luiz Ramos, Mauro Ribeiro de Oliveira Júnior and Gleici da Silva Castro Perdoná

Journal of Applied Statistics, 2022, vol. 49, issue 12, 3178-3194

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.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:49:y:2022:i:12:p:3178-3194

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DOI: 10.1080/02664763.2021.1933923

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