A semi-parametric regression analysis of CD4 cell counts.
A semi-parametric regression analysis of CD4 cell counts.
复制标题
CD4 细胞计数的半参数回归分析。
DOI：
10.1002/sim.945
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发表时间：
2001
影响因子：
2
通讯作者：
Sun,J
中科院分区：
文献类型：
--
作者：
Sun,J
本文考虑对 CD4 细胞计数进行回归分析，CD4 细胞计数是艾滋病进展的常用指标和预后因素。为此，已经提出了许多方法，其中大多数都是基于随机效应模型。我们提出了一种基于平均函数回归模型的替代方案。如果主要关注诸如治疗比较之类的群体参数，则新方法更加自然并且特别合适。为了估计回归参数，我们提出了一种基于方程的估计方法，该方法不需要估计基线均值函数。这使得该方法的实施和估计回归参数的属性的研究比基于随机效应模型的方法容易得多。该方法通过一组来自 AIDS 临床试验的 CD4 细胞计数数据和模拟数据进行了说明。版权所有 © 2001 约翰·威利父子有限公司
This paper considers the regression analysis of CD4 cell counts, a commonly used indicator and prognostic factor of AIDS progression. For this purpose, a number of methods have been proposed and most of them are based on random effects models. We present an alternative that is based on a mean function regression model. The new method is more natural and particularly appropriate if population parameters such as treatment comparison are mainly of interest. To estimate regression parameters, we present an estimating equation‐based approach, which does not require estimation of the baseline mean function. This makes the implementation of the approach and the study of the properties of the estimated regression parameters much easier than those based on random effects models. The method is illustrated with a set of CD4 cell count data arising from an AIDS clinical trial and simulated data. Copyright © 2001 John Wiley & Sons, Ltd.