HAZARD REGRESSION WITH PENALIZED SPLINE: THE SMOOTHING PARAMETER CHOICE AND ASYMPTOTICS

被引：0
|
作者：
Tong Xingwei
Hu Tao [1 ]
Cui Hengjian
机构：
[1] Beijing Normal Univ, Sch Math Sci, Beijing 100875, Peoples R China
来源：
ACTA MATHEMATICA SCIENTIA | 2010年 / 30卷 / 05期
关键词：
proportional hazards; penalized spline; smoothing parameter choice; asymptotic normality; INTERVAL-CENSORED-DATA; MODELS; LIKELIHOOD; NUMBER;
D O I：
暂无
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this article, we use penalized spline to estimate the hazard function from a set of censored failure time data. A new approach to estimate the amount of smoothing is provided. Under regularity conditions we establish the consistency and the asymptotic normality of the penalized likelihood estimators. Numerical studies and an example are conducted to evaluate the performances of the new procedure.
引用
收藏
页码：1759 / 1768
页数：10
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