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

被引：1
|
作者：
de Souza, Hayala Cristina Cavenague [1 ]
Louzada, Francisco [2 ]
Ramos, Pedro Luiz [2 ]
de Oliveira Junior, Mauro Ribeiro [3 ,4 ]
Perdona, Gleici da Silva Castro [1 ]
机构：
[1] Univ Sao Paulo, Ribeirao Preto Sch Med, Dept Social Med, Av Bandeirantes 3900, BR-14049900 Ribeirao Preto, SP, Brazil
[2] Univ Sao Paulo, Inst Math Sci & Comp, Sao Carlos, Brazil
[3] UNIEURO Ctr Univ, Brasilia, DF, Brazil
[4] Caixa Econ Fed, Dept Specialized Risks, Brasilia, DF, Brazil
来源：
JOURNAL OF APPLIED STATISTICS | 2022年 / 49卷 / 12期
基金：
巴西圣保罗研究基金会;
关键词：
Bayesian estimation; cure rate; survival analysis; Weibull distribution; zero-inflation; REGRESSION-MODELS; SURVIVAL-DATA;
D O I：
10.1080/02664763.2021.1933923
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
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.
引用
收藏
页码：3178 / 3194
页数：17
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