NONPARAMETRIC HAZARD ESTIMATION WITH TIME-VARYING DISCRETE COVARIATES

被引:0
|
作者
LEUNG, SF [1 ]
WONG, WH [1 ]
机构
[1] UNIV CHICAGO, CHICAGO, IL 60637 USA
基金
美国国家科学基金会;
关键词
D O I
10.1016/0304-4076(90)90002-B
中图分类号
F [经济];
学科分类号
02 ;
摘要
The traditional one-sample nonparametric estimator of the cumulative hazard function is extended to allow for time-varying discrete covariates. A proof for the consistency and asymptotic normality of the estimator, as well as a derivation of the asymptotic standard error, is provided. Numerical results show that the estimator performs reasonably well. © 1990.
引用
收藏
页码:309 / 330
页数:22
相关论文
共 50 条