Influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes

被引:7
作者
Bao Yiqi [1 ]
Russo, Cibele Maria [2 ]
Cancho, Vicente G. [2 ]
Louzada, Francisco [2 ]
机构
[1] Univ Fed Sao Carlos, Dept Stat, BR-13560 Sao Carlos, SP, Brazil
[2] Univ Sao Paulo, Dept Appl Math & Stat, ICMC, Sao Paulo, Brazil
基金
巴西圣保罗研究基金会;
关键词
Weibull-Negative-Binomial distribution; latent failure causes; survival analysis; cure fraction modeling; local influence diagnostics; LOCAL INFLUENCE; SURVIVAL-DATA;
D O I
10.1080/02664763.2015.1089221
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
In this paper, we propose a flexible cure rate survival model by assuming that the number of competing causes of the event of interest follows the Negative Binomial distribution and the time to event follows a Weibull distribution. Indeed, we introduce the Weibull-Negative-Binomial (WNB) distribution, which can be used in order to model survival data when the hazard rate function is increasing, decreasing and some non-monotonous shaped. Another advantage of the proposed model is that it has some distributions commonly used in lifetime analysis as particular cases. Moreover, the proposed model includes as special cases some of the well-know cure rate models discussed in the literature. We consider a frequentist analysis for parameter estimation of a WNB model with cure rate. Then, we derive the appropriate matrices for assessing local influence on the parameter estimates under different perturbation schemes and present some ways to perform global influence analysis. Finally, the methodology is illustrated on a medical data.
引用
收藏
页码:1027 / 1060
页数:34
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