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

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

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.

Suggested Citation

  • Hayala Cristina Cavenague de Souza & Francisco Louzada & Pedro Luiz Ramos & Mauro Ribeiro de Oliveira Júnior & Gleici da Silva Castro Perdoná, 2022. "A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database," Journal of Applied Statistics, Taylor & Francis Journals, vol. 49(12), pages 3178-3194, September.
    • Handle: RePEc:taf:japsta:v:49:y:2022:i:12:p:3178-3194
    DOI: 10.1080/02664763.2021.1933923
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