文章基本信息

标题：Cure Rate Models Considering The Burr XII Distribution in Presence of Covariate
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作者：Emílio A. Coelho-Barros ; Jorge Alberto Achcar ; Josmar Mazucheli 等
期刊名称：Journal of Statistical Theory and Applications (JSTA)
电子版ISSN：1538-7887
出版年度：2017
卷号：16
期号：2
页码：152-166
DOI：10.2991/jsta.2017.16.2.2
语种：English
出版社：Atlantis Press
摘要：This paper presents estimates for the parameters included in long-term mixture and non-mixture lifetime models, applied to analyze survival data when some individuals may never experience the event of interest. We consider the case where the lifetime data have a three-parameter Burr XII distribution, which includes the popularWeibull mixture model as a special case. Classical and Bayesian procedures are used to get point estimates and confidence intervals for the unknown parameters. We consider a general survival model where the scale and shape parameters of the Burr XII distribution are dependent of some covariates. To illustrate the proposed methodology, we consider an application considering a leukaemia data set where the proposed model gives better fit for the data when compared to other existing models.
关键词：Cure rate mixture model; Cure rate non-mixture model; Burr XII distribution.