• ANOVA for repeated measures was employed.

    ANOVA用于重复测量结果。

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  • Design: a completely randomized self controlled repeated measures design.

    设计:完全随机、自身对照、重复测量设计。

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  • After the statistics of the study is obtained, two-way ANOVA repeated measures will be examined.

    搜集所有实验数据后,进行重复量数二因子变异数分析考验,以验证其差异性。

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  • This thesis is devoted to the study of multi-variate repeated measures models and comparison of estimators.

    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。

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  • Objective:To explore the application of the generalized estimating equation (GEE)in the repeated measures 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。

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  • Objective: To explore the application of the mixed linear model in the repeated measures data of 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。

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  • The relationship among variables was evaluated by linear regression using the mean values of the repeated measures.

    利用重复测量的均值做变量间的线性回归以评估变量间的关系。

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  • The fourth experiment investigated whether different hands affected the results, and was a repeated measures factorial design.

    第四个实验考察不同的手是否对实验结果产生影响,为被试内设计。

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  • 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。

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  • 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。

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  • CONCLUSION The validity of the univariate ANOVA with repeated measures will not be ensured unless the presuppositions are satisfied.

    结论只有满足假定条件,才可以保证重复观测资料单变量方差分析的有效性。

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  • 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。

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  • 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。

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  • Study design. This study is a repeated measures design to measure the lumbar spine response to typical school backpack loads in healthy children.

    研究设计:这项研究是一个重复测量设计,以衡量健康儿童腰椎对典型学校背包负荷的反应。

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  • Results Hypothesis tests for the presuppositions of the univariate ANOVA with repeated measures were given, and a proper software named rep was implemented.

    结果给出了重复观测数据一元方差分析的前提条件检验方法,并用软件REP得以实现。

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  • RESULTS Hypothesis tests for the presuppositions of the univariate ANOVA with repeated measures were given, and a proper software named rep was implemented.

    结果给出了重复观测数据一元方差分析的假定条件检验方法,并用软件REP得以实现。

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  • The first experiment was a repeated measures factorial design to study whether different ways of manually rotating impacted mental rotation of the different objects.

    研究共设计了四个实验,第一个实验采用被试内设计考察不同方式的手动旋转是否对不同客体的心理旋转产生影响。

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  • 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。

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  • 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。

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  • CONCLUSION: multivariate random coefficients model can effectively analyze the dynamic change trend and random effects of multivariate repeated measures data in medical research.

    结论:多变量随机系数模型可有效地进行多变量重复观测数据的动态变化趋势分析以及随机效应分析。

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  • Repeated measures data are common data in medical research.

    重复观测数据是医学研究中常见的数据形式。

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  • Repeated measures data are common data in medical research.

    重复观测数据是医学研究中常见的数据形式。

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