de Souza Hayala Cristina Cavenague, Louzada Francisco, Ramos Pedro Luiz, de Oliveira Júnior Mauro Ribeiro, Perdoná Gleici da Silva Castro
Department of Social Medicine, Ribeirão Preto School of Medicine, University of São Paulo, Ribeirão Preto, SP, Brazil.
Institute of Mathematical Science and Computing, University of São Paulo, São Carlos, Brazil.
J Appl Stat. 2021 Jun 1;49(12):3178-3194. doi: 10.1080/02664763.2021.1933923. eCollection 2022.
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.
本文旨在讨论零膨胀治愈类模型的贝叶斯估计方法，该方法通过在生存分析背景下处理零膨胀数据扩展了标准治愈模型。开展了一项全面的模拟研究以评估估计程序的性能。使用与巴西确诊为浸润性宫颈癌的女性相关的真实数据集说明了一种新的估计方法。
