所用到的统计学方法有一般的统计描述(如均数与标准差)，以及重复测量方差分析，聚类分析，多重线形回归等。
The statistical methods used are general statistical description (such as mean and standard deviation), repetitive measurement deviation analysis, clustering analysis and multiple linear regression.
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.
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.
对测试结果的统计分析采用三因素重复测量的方差分析和多重比较分析及配对T检验。
The correct responses were analyzed with 3-factor repeated measures analysis of variance, multiple comparison analysis, and pairwise T-test.
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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