本论文致力于研究多变量重复测量模型及估计的比较问题。论文的内容分为三个部分。
This thesis is devoted to the study of multi-variate repeated measures models and comparison of estimators.
当每一个体有相同的子个体，并且每一子个体的处理水平是成对的时候，我们使用套重复测量模型。
A nested repeated measures model occurs in analysis of variance when a particular individual has the same number of subindividuals and each subindividual receives every pair of treatment levels.
前言：目的：探讨混合线性模型在临床试验重复测量资料分析中的应用。
Objective: To explore the application of the mixed linear model in the repeated measures data of clinical trials.
方法：利用混合线性模型分析结果指标为定量资料的重复测量资料，通过参数和标准误的估计得出统计学结论。
Methods: the repeated measure data were analyzed with quantitative data by mixed linear Model and conclusions were drawn according to the parameter and standard error.
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.
结论混合线性模型可以有效地、全面地分析单样本重复测量资料。
Conclusion Mixed linear model can be used to analyze repeated measurement data in single-sample.
结果通过混合线性模型拟合，使单样本重复测量资料得以合理分析。
Results the reasonable results were obtained for repeated measurements in single-sample by the methods of mixed linear model.
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.
方法通过构造统计模型，并结合实例给出SAS程序来实现析因设计重复测量资料的统计分析。
Methods The data analysis is completed by constructing statistical model and providing SAS Program based on an example.
在双反应变量重复测量资料模型构建过程中，使用SAS的MIXED过程，将重复测量数据间的相关性分为变量之间的相关与重复测量个体值之间的相关两部分。
In modelling the bivariate repeated measurement data, using the PROC MIXED of SAS, the correlation between data could be cut into two parts: between variables and between multiple measurements.
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.
应用推荐