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

被引：1

作者：

童行伟 ^{[1
,2
]}

胡涛 ^{[1
,2
]}

崔恒建 ^{[1
,2
]}

机构：

[1] School of Mathematical Sciences,Beijing Normal University

[2] Laboratory of Mathematics and Complex Systems,Ministry of Education

来源：

Acta Mathematica Scientia | 2010年 / 30卷 / 05期

关键词：

proportional hazards; penalized spline; smoothing parameter choice; asymp-totic normality;

D O I：

暂无

中图分类号：

O212.1 [一般数理统计];

学科分类号：

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

页码：1759 / 1768

页数：10

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