ASSESSING THE ASSOCIATION BETWEEN TRENDS IN A BIOMARKER AND RISK OF EVENT WITH AN APPLICATION IN PEDIATRIC HIV/AIDS

被引：21

作者：

Brown, Elizabeth R. ^{[1
]}

机构：

[1] Univ Washington, Seattle, WA 98195 USA

来源：

ANNALS OF APPLIED STATISTICS | 2009年 / 3卷 / 03期

基金：

美国国家卫生研究院;

关键词：

HIV/AIDS; disease progression; mother-to-child transmission; joint longitudinal and survival models; biomarker change; CENSORED SURVIVAL-DATA; TO-CHILD TRANSMISSION; LONGITUDINAL DATA; JOINT MODEL; HIV-1; INTRAPARTUM; PREVENTION; ZIDOVUDINE; KAMPALA; UGANDA;

D O I：

10.1214/09-AOAS251

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：

We present a new joint longitudinal and survival model aimed at estimating the association between the risk of an event and the change in and history of a biomarker that is repeatedly measured over time. We use cubic B-splines models for the longitudinal component that lend themselves to straight-forward formulations of the slope and integral of the trajectory of the biomarker. The model is applied to data collected in a long term follow-up study of HIV infected infants in Uganda. Estimation is carried out using MCMC methods. We also explore using the deviance information criteria, the conditional predictive ordinate and ROC curves for model selection and evaluation.

引用

页码：1163 / 1182

页数：20

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