A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database. Issue 12 (10th September 2022)

• Record Type: Journal Article
• Authors: de Souza, Hayala Cristina Cavenague; Louzada, Francisco; Ramos, Pedro Luiz; de Oliveira Júnior, Mauro Ribeiro; Perdoná, Gleici da Silva Castro
• Is Part Of: Journal of applied statistics. Volume 49:Issue 12(2022)
• Page Start: 3178
• Page End: 3194
• Publication Date: 2022-09-10
• Subjects: Bayesian estimation -- cure rate -- survival analysis -- Weibull distribution -- zero-inflation; 62Nxx; Statistics -- Periodicals; 519.5
• DOI: 10.1080/02664763.2021.1933923
• Languages: English
• ISSNs: 0266-4763

Abstract

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.