Statistical analysis of correlated data using generalized estimating equations: An orientation
Statistical analysis of correlated data using generalized estimating equations: An orientation
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DOI：
10.1093/aje/kwf215
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发表时间：
2003-02-15
影响因子：
5
通讯作者：
Forrester, JE
中科院分区：
文献类型：
--
作者：
Hanley, JA;Negassa, A;Forrester, JE
广义估计方程(GEE)方法经常被用来分析纵向和其他相关响应数据，特别是当响应是二元响应时。然而，流行病学家对这种方法的描述很少。在这篇文章中，作者使用了小的工作实例和一个真实的数据集，包括二进制和定量的响应数据，以帮助最终用户理解该方法的本质。这些例子足够简单，可以看到加权观测的幕后计算和重要作用，它们还允许非统计学家想象当GEE方法应用于更复杂的多变量数据时所涉及的计算。
The method of generalized estimating equations (GEE) is often used to analyze longitudinal and other correlated response data, particularly if responses are binary. However, few descriptions of the method are accessible to epidemiologists. In this paper, the authors use small worked examples and one real data set, involving both binary and quantitative response data, to help end-users appreciate the essence of the method. The examples are simple enough to see the behind-the-scenes calculations and the essential role of weighted observations, and they allow nonstatisticians to imagine the calculations involved when the GEE method is applied to more complex multivariate data.