Time-dependent coefficients in a multi-event model for survival analysis

被引：0

作者：

de Lima, ACP

Sen, PK

机构：

[1] Univ Sao Paulo, Dept Estatist, BR-05315970 Sao Paulo, Brazil

[2] Univ N Carolina, Dept Biostat, Chapel Hill, NC 27599 USA

[3] Univ N Carolina, Dept Stat, Chapel Hill, NC 27599 USA

来源：

JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 1999年 / 75卷 / 02期

关键词：

Cox-type model; martingale; matrix-valued counting process; multivariate failure-time; predictable process; sieves;

D O I：

暂无

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：

In an earlier work, a matrix-valued counting process model was proposed to deal with the occurrence of multiple events for each experimental unit, appealing to a Cox-type model to accommodate plausible concomitant variates. This model is generalized here to a more flexible one that incorporates time-dependent concomitant variates that might have time-dependent coefficients. (C) 1999 Elsevier Science B.V, All rights reserved.

引用

页码：393 / 414

页数：22

共 10 条

[1] MAXIMUM-LIKELIHOOD ESTIMATION OF PARAMETERS SUBJECT TO RESTRAINTS [J].