目的探讨边际回归模型在医学研究领域多变量相关分析中的应用。
Objective To explore the application of marginal regression models on multivariate correlation analysis in medical research.
对两种类型资料边际回归模型都可以同时估计回归系数和关联参数。
Marginal regression models can be used to estimate regression coefficients and association parameters for two kinds of data.
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.
利用这些数据资料进行了复回归分析，得到了方程模型，并进行了边际及投入产出分析。
This information is used to do multidimensional regression analysis, and an equation is gained, then the model is used for marginal and input-output analysis.
利用这些数据资料进行了复回归分析，得到了方程模型，并进行了边际及投入产出分析。
This information is used to do multidimensional regression analysis, and an equation is gained, then the model is used for marginal and input-output analysis.
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