Joint latent class model of survival and longitudinal data: An application to CPCRA study
Joint latent class model of survival and longitudinal data: An application to CPCRA study
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DOI：
10.1016/j.csda.2015.05.007
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发表时间：
2015-11-01
影响因子：
1.8
通讯作者：
Zhou, Jianhui
中科院分区：
文献类型：
--
作者：
Liu, Yue;Liu, Lei;Zhou, Jianhui
对重复测量和事件发生时间数据的联合分析越来越感兴趣。在许多研究中，也可能存在异质亚组。因此，提出了一种新的模型，用于纵向和生存数据的联合分析，潜在的类模型识别的亚群。在每个潜在类中，采用具有共享随机效应的纵向和生存数据的联合模型。该模型被应用到特里·贝恩社区计划艾滋病临床研究研究（CPCRA）的特点的队列的潜在异质性，并研究纵向CD4措施和死亡时间之间的关系。当受试者之间的异质性不能被忽视，纵向和生存结局都感兴趣时，建议的模型是可取的。(C)2015 Elsevier B.V.版权所有。
There has been an increasing interest in the joint analysis of repeated measures and time to event data. In many studies, there could also exist heterogeneous subgroups. Thus a new model is proposed for the joint analysis of longitudinal and survival data with underlying subpopulations identified by latent class model. Within each latent class, a joint model of longitudinal and survival data with shared random effects is adopted. The proposed model is applied to Terry Beirn Community Programs for Clinical Research on AIDS study (CPCRA) to characterize the underlying heterogeneity of the cohort and to study the relation between longitudinal CD4 measures and time to death. The proposed model is desirable when the heterogeneity among subjects cannot be ignored and both the longitudinal and survival outcomes are of interest. (C) 2015 Elsevier B.V. All rights reserved.