考虑纵向数据的一般线性混合效应模型。
The linear mixed model for longitudinal data proposed by Laird and Ware is studied.
本文对将驻点个数等于参数个数的混合效应模型做d -最优设计。
To the mixed effects models which the number of support points is equal to the number of parameters, we construct D-optimal block designs.
线性混合效应模型在医学重复测量资料的数据分析与设计中广泛应用。
The linear mixed effects model in the data analysis and design of repeated measurements has been found an wide utilization in medical fields.
采用一般的线性混合效应模型研究手术和疾病前后对纵向认知曲线的影响。
The effect of surgery and illness on longitudinal cognitive course was analyzed using a general linear mixed effects model.
方法利用线性混合效应模型对某医院医务人员职业紧张的影响因素进行分析。
Methods Factors that affected the occupational stress of doctors in a hospital were studied by means of linear mixed model.
结果分析使用SASPROC MIXED模块进行线性混合效应模型分析。
Outcome analyses were carried out by fitting linear mixed models by using SAS PROC mixed.
同时按照替代法，在一定条件下，线性混合效应模型与两阶段模型可相互转化；
Upon substitution, the linear mixed-effects model can be always expressed in terms of the two stage model and vice-versa.
用非线性混合效应模型（NONMEM）考察固定效应对丙戊酸相对清除率的影响。
The influence of the fixed effects on relative clearance of VPA was investigated using Nonlinear Mixed Effect Model(NONMEM) .
血脂和血压的变化模式通过比较运用随机系数线性混合效应模型得到的追踪观察期的梯度来评估。
Patterns of changes in lipids and BP were evaluated by comparing slopes over follow-up time using random coefficient linear mixed-effect models.
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。
Objective To explore the application of nonlinear mixed models in ordered categorical data of cross-over trial analysis and hence provide methodology reference.
利用随机效应模型计算了混合效应的大小。
Pooled effect sizes were calculated using random effects models.
方法：用混合效应线性模型和单因素方差分析处理重复测量资料并比较。
Method: Make use of mixed effects linear model and single effect analysis of variance to deal with the repeated measure data.
文中介绍的数学模型考虑了混合云中液、固相共存时以及冰面过饱和环境下稳定同位素的动力分馏效应。
The introduced mathematical model takes into account the action of the kinetic fractionation effect in super saturation environment at ice surface as liquid and solid phases coexist in mixed cloud.
介绍的数学模型考虑了混合云中液、固态共存时以及冰面过饱和环境下稳定同位素的动力分馏效应。
The introduced mathematical model takes into account the role of the kinetic fractionation effect in a supersaturation environment at the ice surface as liquid and solid phases coexist in mixed cloud.
用DMUAI广义线性混合模型估计死胎、木乃伊的育种值，固定效应值，进一步估计遗传力。
Using generalized linear mixed model DMUAI estimated stillbirth and mummy's breeding values, values of fixed effects, and further estimated stillbirth and mummy's heritability.
将线性混合模型中随机效应的协方差阵推广为正定阵，运用方差分析估计的方法给出了方差分量的估计。
In this paper, the covariance matrix of random effect in linear mixed model is extended to positive matrix. We construct the estimation of variance components based on the idea of ANOVA estimation.
文章针对弱光反馈情形，对基于光反馈效应的激光自混合干涉模型进行了探讨。
Study on theoretical models of laser self-mixing interference based on optical feedback effect is made in terms of weak optical feedback condition.
目的放宽交叉设计方差分析对残留效应假定和探讨交叉设计混合效应分析模型。
Objective To relax assumption of carryover effects in analysis of variance for cross-over designs and explore mixed effects model.
同时考虑样地的随机效应、观测数据的时间序列相关性及不同初植密度的混合模型模拟精度比传统的非线性回归方法模拟精度高。
The precision of mixed model considering plot random effects, time series error autocorrelation and different plantation density at one time is better than that of ordinary regression analysis method.
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。
METHODS: general linear models with mixed effects and generalized linear mixed models (GLMM) were adapted to investigate the difference between groups.
相对线性混合模型分析法，方差分析法分析该试验时，依测验的效应不同会导致第一类或第二类统计错误率的增大。
Compared with the mixed linear model analysis, the analysis of variance could result in higher type I or II statistical error rates.
目的：通过混合效应线性模型与单因素方差分析在重复测量资料中的应用比较，旨在说明两方法在处理重复测量资料时的应用特点。
According the characteristics of the bivariate repeated measurement data, using the MIXED procedure of SAS software to fit linear mixed effects model.
目的：通过混合效应线性模型与单因素方差分析在重复测量资料中的应用比较，旨在说明两方法在处理重复测量资料时的应用特点。
According the characteristics of the bivariate repeated measurement data, using the MIXED procedure of SAS software to fit linear mixed effects model.
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