Consistency of The MMGLE under the piecewise proportional hazards models with interval-censored data

被引:0
|
作者
Yu, Qiqing [1 ]
Diao, Qinggang [1 ]
机构
[1] SUNY Binghamton, Dept Math Sci, Binghamton, NY 13902 USA
关键词
Cox's model; time-dependent covariates; semi-parametric MLE; consistency; asymptotic normality; Primary; 62; G07; Secondary; J99;
D O I
10.1080/10485252.2018.1563296
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
Wong et al. [(2018), 'Piece-wise Proportional Hazards Models with Interval-censored Data', Journal of Statistical Computation and Simulation, 88, 140-155] studied the piecewise proportional hazards (PWPH) model with interval-censored (IC) data under the distribution-free set-up. It is well known that the partial likelihood approach is not applicable for IC data, and Wong et al. (2018) showed that the standard generalised likelihood approach does not work either. They proposed the maximum modified generalised likelihood estimator (MMGLE) and the simulation results suggest that the MMGLE is consistent. We establish the consistency and asymptotically normality of the MMGLE.
引用
收藏
页码:315 / 321
页数:7
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