Regression models with arbitrarily interval-censored observations

被引：14
|
作者：
Li, LX [1 ]
Pu, ZW [1 ]
机构：
[1] Univ New Orleans, Dept Math, New Orleans, LA 70148 USA
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1999年 / 28卷 / 07期
关键词：
least squares regression; generalized maximum likelihood estimator; proportional hazards model; self-consistent estimator;
D O I：
10.1080/03610929908832372
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：
By arbitrarily interval censoring we mean a lifetime could be either right-censored, left-censored, strictly interval-censored, or observed exactly. In this paper, we shall study the least squares regression and Cox regression models when data are subject to said censoring scheme. Simulations and an application of a set of cancer treatment data are studied for investigating the performance of the proposed methods.
引用
收藏
页码：1547 / 1563
页数：17
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