Liang K Y, Self S G, Liu X H
Department of Biostatistics, Johns Hopkins University, Baltimore, Maryland 21205.
Biometrics. 1990 Sep;46(3):783-93.
In this paper, we develop the Cox proportional hazards model with special structured time-dependent covariates in the context of prospective epidemiologic studies. Our model possesses the following two features: (i) different relative risk parameters are allowed for early versus late onset of the disease of interest; (ii) an additional parameter is introduced so that specification is not required for the time (age) at which a change of the magnitude of the relative risks takes place, the so-called change point. Some difficulties with statistical inference for the proposed model are briefly discussed, and the large-sample distribution of a test for no change point is derived. As an illustration, we apply the model to a set of data gathered on a group of white male medical students of The Johns Hopkins Medical School enrolled between 1948 and 1964. We examine the hypothesis that the effect of reactivity to the cold pressor test may vary with early versus late onset of hypertension.
在本文中,我们在前瞻性流行病学研究的背景下,开发了具有特殊结构化时间依存协变量的Cox比例风险模型。我们的模型具有以下两个特点:(i)对于感兴趣疾病的早期发病和晚期发病,允许使用不同的相对风险参数;(ii)引入了一个额外的参数,这样就不需要指定相对风险大小发生变化的时间(年龄),即所谓的变化点。简要讨论了所提出模型的统计推断中的一些困难,并推导了无变化点检验的大样本分布。作为一个例子,我们将该模型应用于一组收集自1948年至1964年间在约翰霍普金斯医学院入学的一群白人男性医学生的数据。我们检验了对冷加压试验的反应性影响可能随高血压的早期发病和晚期发病而变化的假设。