摘要
纵向数据经常出现在生物医学等实际领域,而且在许多情况下,观察时间和终止时间是带信息的,同时可能会存在有偏抽样.本文在有偏抽样下,对于带信息观察时间和终止时间的纵向数据,提出了一个联合建模方法,并利用借代力量方法给出了模型参数的估计,同时获得了这些估计的渐近性质.最后,提出一种模型检验方法.
Longitudinal data frequently occur in medical follow-up studies, and in many situations, there may exist informative observation times and a dependent terminal event time, as well as biased sampling. In this article, we propose joint modeling and analysis of longitudinal data with possibly informative observation times and a dependent terminal event time under biased sampling. A borrow-strength estimation procedure is developed for parameter estimation, and asymptotic properties of the proposed estimators are established. In addition, a model checking method is presented for assessing the adequacy of the model.
出处
《应用数学学报》
CSCD
北大核心
2013年第6期961-977,共17页
Acta Mathematicae Applicatae Sinica
基金
国家自然科学基金(11231010
11171330
11021161)资助项目
关键词
有偏抽样
带信息观察
终止时间
联合建模
潜在变量
估计方程
biased sampling
informative observation times
terminal event time
joint modeling
Latent variables
estimating equation