Joint modelling of longitudinal measurements and event time data.
Joint modelling of longitudinal measurements and event time data.
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DOI：
10.1093/biostatistics/1.4.465
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发表时间：
2000-12-01
期刊：
影响因子：
--
通讯作者：
Dobson, A
中科院分区：
文献类型：
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作者：
Henderson, R;Diggle, P;Dobson, A
本文制定了一类模型的联合行为的一系列纵向测量和相关的序列的事件时间，包括单事件的生存数据。这一类包括和扩展了一些特定的模型，最近已经提出，并在没有关联的情况下，减少到单独的模型的测量和事件的基础上，分别在一个正常的线性模型与相关的错误和半参数比例风险或强度模型的脆弱性。的模型类的特殊情况下进行了详细讨论，并描述了一个估计过程，它允许两个组件被连接通过一个潜在的随机过程。方法说明使用的结果从临床试验到精神分裂症的治疗。
This paper formulates a class of models for the joint behaviour of a sequence of longitudinal measurements and an associated sequence of event times, including single-event survival data. This class includes and extends a number of specific models which have been proposed recently, and, in the absence of association, reduces to separate models for the measurements and events based, respectively, on a normal linear model with correlated errors and a semi-parametric proportional hazards or intensity model with frailty. Special cases of the model class are discussed in detail and an estimation procedure which allows the two components to be linked through a latent stochastic process is described. Methods are illustrated using results from a clinical trial into the treatment of schizophrenia.