通过构建广义估计方程模型评价治疗长期影响。
Generalized estimating equation models were constructed to assess the effect of treatment over time.
广义估计方程。
目的：探讨广义估计方程在临床试验重复测量资料分析中的应用。
Objective:To explore the application of the generalized estimating equation (GEE)in the repeated measures data.
结果：给出了广义估计方程SAS程序，并对参数估计和两两比较结果进行解释。
Results: The SAS codes were presented. The parameter estimations and multiple comparison results were interpreted.
边际回归模型和与此有关的广义估计方程(GEE)在纵向数据分析中得到了广泛的应用。
Marginal regression model and its associated generalized estimating equation (GEE) are becoming increasingly being used in longitudinal studies.
方法应用广义估计方程2 (GEE2)估计数量性状的均数结构和关联结构的边际回归模型。
Methods Generalized estimating equation 2 (GEE2) was employed to estimating both regression coefficients and the familial correlation.
目的：探讨广义估计方程在交叉试验等级资料中的应用，为临床试验交叉设计资料的正确分析提供方法学参考。
Objective:To explore the application of generalized estimating equation in ordered categorical data of cross-over trial analysis and provide methodology reference.
方法：利用广义估计方程分析结果指标为分类变量的重复测量资料，通过参数和标准误的估计得出统计学结论。
Method: the repeated measures data were analyzed with category variance outcome by GEE and conclusions were drawn according to the estimating of parameter and standard error.
提出应用广义最大熵的方法对结构方程模型的参数进行估计，该方法能够处理有限的或者不完全数据。
IA new method based on generalized maximum entropy is applied in estimating parameters of structural equation model, which is meant for situations with limited or incomplete data.
利用统计曲率的概念，研究结构方程模型的最大似然估计量和广义最小二乘估计量的信息损失，得到了简明的结果。
By employing the concept of statistical curvatures, the information loss of the maximum likelihood estimator and the generalized least squares estimator is investigated.
利用统计曲率的概念，研究结构方程模型的最大似然估计量和广义最小二乘估计量的信息损失，得到了简明的结果。
By employing the concept of statistical curvatures, the information loss of the maximum likelihood estimator and the generalized least squares estimator is investigated.
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