A class of mean residual life regression models with censored survival data

被引:5
作者
Sun, Liuquan [1 ]
Zhao, Qiang [2 ]
机构
[1] Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China
[2] Texas State Univ, Dept Math, San Marcos, TX 78666 USA
基金
中国国家自然科学基金;
关键词
Censored data; Estimating equation; Failure time; Goodness-of-fit test; Mean residual life; OF-FIT TESTS; SEMIPARAMETRIC REGRESSION;
D O I
10.1016/j.jspi.2010.05.012
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
When describing a failure time distribution, the mean residual life is sometimes preferred to the survival or hazard rate. Regression analysis making use of the mean residual life function has recently drawn a great deal of attention. In this paper, a class of mean residual life regression models are proposed for censored data, and estimation procedures and a goodness-of-fit test are developed. Both asymptotic and finite sample properties of the proposed estimators are established, and the proposed methods are applied to a cancer data set from a clinic trial. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:3425 / 3441
页数:17
相关论文
共 24 条
[1]  
[Anonymous], 1991, Counting Processes and Survival Analysis
[2]   Marginal means/rates models for multiple type recurrent event data [J].
Cai, JW ;
Schaubel, DE .
LIFETIME DATA ANALYSIS, 2004, 10 (02) :121-138
[3]   Linear life expectancy regression with censored data [J].
Chen, Y. Q. ;
Cheng, S. .
BIOMETRIKA, 2006, 93 (02) :303-313
[4]   Additive expectancy regression [J].
Chen, Ying Qing .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2007, 102 (477) :153-166
[5]   Semiparametric regression analysis of mean residual life with censored survival data [J].
Chen, YQ ;
Cheng, S .
BIOMETRIKA, 2005, 92 (01) :19-29
[6]   Semiparametric estimation of proportional mean residual life model in presence of censoring [J].
Chen, YQ ;
Jewell, NP ;
Lei, X ;
Cheng, SC .
BIOMETRICS, 2005, 61 (01) :170-178
[7]  
Cox DR., 1962, Metrheun's Monograph
[8]  
COX DR, 1972, J R STAT SOC B, V187, P220
[9]  
GRAMBSCH PM, 1994, BIOMETRIKA, V81, P515
[10]  
LAD T, 1988, J CLIN ONCOL, V6, P9