目的探讨析因设计重复测量资料的统计分析方法。
ObjectiveTo explore statistical approaches to analyzing factorial designed repeated measurement data.
摘要目的探讨析因设计重复测量资料的统计分析方法。
Objective to explore statistical approaches to analyzing factorial designed repeated measurement data.
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.
目的介绍分类数据重复测量资料的统计分析及其在临床试验中的应用。
Objective The statistical method for repeated measures categorical data analysis was introduced and applied to clinical trials.
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：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.
在医学研究的各个领域常会遇到重复测量资料的数据分析与设计的问题。
In many fields of medical studies, the analysis and design of repeated measurements data are often come across.
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.
目的探讨重复测量资料非线性分析技术、SAS软件NLMIXED过程及在群体药动学的应用。
Objective To study the nonlinear analysis methods for repeated measurement data, implement parameter estimate in PPK by NLMIXED procedure in SAS soft.
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.
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.
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.
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.
本文介绍分析重复测量分类数据的一般统计方法，并用临床资料进行实例分析。
This paper introduces a general methodology for the analysis of repeated measurement of categorical data. A clinical example is illustrated.
对患者的手术前后MMSE评分进行重复测量设计资料的方差分析，观察干预效果。
Observe intervention effect of the MMSE score of these patients before and after surgery by repeated measures analysis of variance.
对患者的手术前后MMSE评分进行重复测量设计资料的方差分析，观察干预效果。
Observe intervention effect of the MMSE score of these patients before and after surgery by repeated measures analysis of variance.
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