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。
The correct responses were analyzed with 3-factor repeated measures analysis of variance, multiple comparison analysis, and pairwise T-test.
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。
Mean fascial displacement amplitude was grouped by PP and analyzed using 2-way repeated measures analysis of variance and contrast analysis.
依据灌注压对筋膜移位程度进行分级，应用双因子重复性方差分析和对照分析进行数据分析。
Objective The statistical method for repeated measures categorical data analysis was introduced and applied to clinical trials.
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。
Conclusion: Owing to correlation among repeated measures and its hierarchical error, the statistical analysis with repeated measures is different from other statistical approach.
结论：由于重复测量数据间存在一定的自相关性和随机误差的多层次性，因而其分析方法有别于一般的统计分析方法。
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.
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。
Using repeated-measures single factor analysis of variance and Bonferroni statistical tests (P < 0.05), intervertebral motion redistribution of each construct was compared with the intact.
使用重复测量变异的单因子分析和Bonferroni统计学测试，我们将每个结构的椎间盘运动再分布与完整运动进行了比较。
The statistical techniques performed for analysis were compare means, repeated-measures of MANOVA.
本文的主要统计方法为均值比较、重复多因素方差分析。
Percent forced vital capacity was the outcome parameter with data analysis using a mixed-model repeated-measures ANOVA and paired t tests.
用力肺活量作为分析的参数使用混合的模型反复使用ANOVA和配对t检验进行统计学比较。
Percent forced vital capacity was the outcome parameter with data analysis using a mixed-model repeated-measures ANOVA and paired t tests.
用力肺活量作为分析的参数使用混合的模型反复使用ANOVA和配对t检验进行统计学比较。
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