Application of functional ANOVA models for hazard regression to the Hisayama data
Application of functional ANOVA models for hazard regression to the Hisayama data
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DOI：
10.1002/sim.3129
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发表时间：
2008-08-15
影响因子：
2
通讯作者：
Truong, Young K.
中科院分区：
文献类型：
--
作者：
Kawaguchi, Atsushi;Yonemoto, Koji;Truong, Young K.
开发了一种用于对至事件发生时间数据的协变量效应进行建模的方法。允许协变量具有时间依赖性，并使用多项式样条对其效应进行建模，以考虑可能的非线性效应。该方法应用于研究的影响，发病率脑梗死的基础上，在日本久山的队列研究。结果表明，至少有两个非线性效应是显著的（体重指数和收缩压），并且存在随时间变化的药物效应。由此产生的重大风险因素进行评估所提出的方法，这是更灵活，因此比传统的程序，线性效应施加偏见。这些结果对当地的医学调查极为重要。特别是，通过研究非线性效应获得了更多的见解。版权所有（C）2007约翰威利父子有限公司
A methodology for modeling covariate effects on the time-to-event data is developed. The covariates are allowed to be time dependent and their effects are modeled using polynomial splines in order to account for possibly non-linear effects. The methodology is applied to examine the effects on the incidence brain infarction based on a cohort study in Hisayama, Japan. The results indicate that at least two non-linear effects are significant (body mass index and systolic blood pressure) and there is a time-varying drug effect. The resulting significant risk factors are assessed by the proposed method that is more flexible and hence less biased than the traditional procedures where linear effects are imposed. These results are extremely important to the local medical investigation. In particular, more insight has been gained by examining the non-linear effects. Copyright (C) 2007 John Wiley & Sons, Ltd.