基于SAS proc MIXED的二元线性混合模型
Bivariate linear mixed models using SAS proc MIXED
摘要：
当分析两个相关标志物的纵向数据时，二元线性混合模型是有用的。在本文中，我们提出了一个二元线性混合模型，包括随机效应或一阶自回归过程和独立的测量误差的两个标志。提供了使用SAS Proc MIXED拟合这些模型的代码和技巧。该方案的局限性进行了讨论，并在艾滋病毒感染领域的一个例子。尽管有一些局限性，SAS Proc MIXED是一个有用的工具，可以很容易地扩展到纵向研究中的多变量响应。
英文摘要：
Bivariate linear mixed models are useful when analyzing longitudinal data of two associated markers. In this paper, we present a bivariate linear mixed model including random effects or first-order auto-regressive process and independent measurement error for both markers. Codes and tricks to fit these models using SAS Proc MIXED are provided. Limitations of this program are discussed and an example in the field of HIV infection is shown. Despite some limitations, SAS Proc MIXED is a useful tool that may be easily extendable to multivariate response in longitudinal studies.
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