Application of trajectories from growth curve in identification of longitudinal biomarker for the multivariate survival data

被引：0

作者：

Ko, Feng-shou ^{[1
]}

机构：

[1] KF Stat Consulting Co, Kaohsiung 807, Taiwan

来源：

JOURNAL OF APPLIED STATISTICS | 2017年 / 44卷 / 03期

关键词：

Biomarker; Cox's model; growth curve; longitudinal data analysis; score test;

D O I：

10.1080/02664763.2016.1174196

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 clinical studies, the researchers measure the patients' response longitudinally. In recent studies, Mixed models are used to determine effects in the individual level. In the other hand, Henderson etal. [3,4] developed a joint likelihood function which combines likelihood functions of longitudinal biomarkers and survival times. They put random effects in the longitudinal component to determine if a longitudinal biomarker is associated with time to an event. In this paper, we deal with a longitudinal biomarker as a growth curve and extend Henderson's method to determine if a longitudinal biomarker is associated with time to an event for the multivariate survival data.

引用

页码：416 / 426

页数：11

共 16 条

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