Generalize linear mixed models.
概括线性混合模型。
非线性混合模型。
线性混合模型。
Group differences were analyzed using linear mixed models analysis.
两组差异分析采用线性混合模型分析法。
Outcome analyses were carried out by fitting linear mixed models by using SAS PROC mixed.
结果分析使用SASPROC MIXED模块进行线性混合效应模型分析。
METHODS: general linear models with mixed effects and generalized linear mixed models (GLMM) were adapted to investigate the difference between groups.
方法：采用混合效应的一般线性模型和混合效应的广义线性模型。
Finally, the precision of mixed models was compared with the precision of conventional nonlinear ordinary regression analysis method based on validation data.
最后，利用验证数据对混合模型方法与传统的非线性回归模拟方法进行精度比较。
Objective To explore the application of nonlinear mixed models in ordered categorical data of cross-over trial analysis and hence provide methodology reference.
目的探讨非线性混合效应模型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。
Methods We applied generalized linear mixed models for the nuclear family data to set up the genetic variance component model and estimated parameters using MCMC.
将广义线性混合模型应用于核心家系资料建立遗传方差分量模型，运用MCMC方法进行参数估计。
Methods We applied generalized linear mixed models for the nuclear family data to set up the genetic variance component model and estimated parameters using MCMC.
将广义线性混合模型应用于核心家系资料建立遗传方差分量模型，运用MCMC方法进行参数估计。
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