重复测量

重复测量方差分析结果显示：MMSE、IADL和WMS-RC的4个记忆分量表得分的干预主效应、时间主效应差异均有统计学意义（P0.05），且干预与时间因素均存在交互作用（P0.001）。

The result of repeated measure ANOVA revealed that time main effect , intervention main effect and interaction between time and intervention had significant effect on the scores of MMSE , four memory sub-scales of WMS-RC and IADL ( P0.05 ) .

多反应变量重复测量的混合效应模型及其应用

Mixed Models for Repeated Measure Data with Multiple Responses and Their Application

结果量表重复测量效果良好（P≤0.005）；

Results The effect of re-measure of measuring table was better ( P ≤ 0.005 );

结论MIXED可以有效地、全面地分析重复测量数据。

Conclusion Mixed model can effectively analyze repeated measures data with SAS MIXED .

方法利用MIXED对多个处理组的重复测量数据进行混合模型分析。

Methods A example of repeated measurement was analyzed with mixed model using MIXED procedure .

主要应用统计方法有：卡方检验，独立样本t检验，重复测量方差分析，以上所有统计检验均以P0.05表示有统计学差异。

The major statistical procedures applied were : Chi-square , independent t-test , ANOVA .

Mixed过程提供了丰富的协方差结构，可以充分利用重复测量资料的信息，又能处理缺失值，是重复测量资料最优的统计分析方法。

And the MIXED procedure of the SAS System provides a rich selection of covariance structures through the RANDOM and REPEATED statements .

统一采用有界的β（g，h）分布表示重复测量数据的各种概率分布。

Uniform expression of the probability distribution of repeated measurement data by bounded β( g , h ) distribution is recommended .

水迷宫重复测量数据的方差分析及其在SPSS中的实现

Analysis of variance of repeated data measured by water maze with SPSS

多中心临床试验重复测量设计与Bayes分析

The Design and BAYES Analysis of Repeated Measurement from Multi-centre Clinical Trials

要提高测量精度，就必须对同一参数进行N次重复测量，再按随机误差的理论来估算测量结果。

Must repeatedly measure same parameter to improve measure precision , and then , measured result is estimated according to erratic error theory .

析因设计重复测量资料的统计分析及SAS程序实例

Statistical Analysis of Factorial Designed Repeated Measurement Data and Examples of SAS Program

方法用SAS和SPSS软件实现不等距重复测量设计方差分析。

Methods SAS and SPSS were used to implement the unequally-spaced repeated measures design ANOVA .

组间比较的重复测量经多元方差分析差异具有显著性统计学意义（P0.01）。

By doing repeated measurements through multivariate analysis of variance between groups , difference was statistically significant ( P0.01 ) .

ANOVA用于重复测量结果。

ANOVA for repeated measures was employed .

碱性磷酸酶及钙定量检测显示，C组与A、B、D组相比，进行重复测量方差分析，P0.05，有计学意义。

Alkaline phosphatase and calcium quantitative detection display , C group and A , B , D groups compared , for repeated measures analysis of variance , P0.05 , there is significance .

术后体重变化经过重复测量设计资料的方差分析检验，组间差异无统计学意义（P0.05）。

There was significant difference between the groups ( P0.05 ) . 3 . Postoperative weight change data after a repeated measures design analysis of variance test .

方法对5例慢性牙周炎患者在牙周基础治疗前后，分别使用Florida探针与普通牙周探针重复测量PD值各两次。

Methods Before and after initial periodontal treatment , five patients with chronic periodontitis received repeated PD measurements using the Florida probe and the conventional periodontal probe , respectively .

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 .

MT重复测量在地震中短期预报中的应用&祁连山中段MT剖面监测研究

Application of the MT repeated measurements to the medium and short term prediction of earthquake ── monitoring and studying a profile in the middle segmentof Qilian Mountain by MT

OVA特异性IgG抗体检测：重复测量资料的方差分析结果显示，处理因素和时间之间存在交互作用。

The result of OVA specificity IgG level The result of analysis of variance about repeated measurement data showed that there were interaction between factor and time .

线性混合效应模型最早由Laird和Ware（1982）提出，它在分析重复测量资料时非常灵活；

The linear mixed-effects model presented by Laird and Ware ( 1982 ) is a more flexible model for repeated measures .

计量结果差异比较采用单因素方差分析和重复测量数据的方差分析，LSD检验。

Differences of measurement were compared with single factor analysis of variance as well as repetitive measurements analysis of variance .

数据处理采用重复测量方差分析、t检验、χ2检验、Spearman相关分析。

Data were processed using analysis of variance , t-test ,χ 2 - test , Spearman correlation analysis . Results : 1 .

对SUI组的患者还需进行尿动力学、指压实验等，TVT-O术后重复测量以上数值。

And patients with SUI group also should take the urodynamics and pressure experiment , etc. , TVT-O postoperative repeated measurement above value .

运用重复测量的方差分析评价各疗程结束后两组患者症状体征量化表积分，疏密波组患者的症状体征量化表积分随时间变化趋势比疏波组明显（P＜0.05）。

Using the analysis of variance to analyze TCM symptoms and signs quantitative table integral of the two groups of patients after the treatment , The condensation-rarefaction wave group was much better than control group in improving TCM symptoms and signs on quantitative table integral ( P0.05 ) .

统计方法采用采用重复测量的方差分析，分析脑脊液tau蛋白的水平与颅脑损伤严重程度及预后的关系。

Repeated measures analysis of variance was utilized . The relationship between the CSF levels of tau protein and the severity and prognosis of head injury was analyzed .

本课题采用MT重复测量方法，在该区建立的长约400km的剖面上进行监测。

The MT repeated measurement had been adopted to the measurement along a section of 400 km long in this region in the research .

通过对样本重复测量资料的方差分析示：二组患者组内术后Lysholm评分较术前均有显著差异（P0.05）。

The analysis of variance for repeated measurement data of the sample shows : Compared with the preoperative , postoperative Lysholm score in the two patients group have significant differences ( P0.05 ) .

经采用重复测量的方差分析和LSD法进行比较，激光照射1w、1.5w组与对照组比较，有显著性差异（P<0.05），而不同材料间比较，差异无统计学意义（P>0.05）。

Comparison between laser irradiation subgroups and the control , 1w 、 1.5w showed significant difference ( P < ( 0.05 )) .