Results were analyzed by t test and Bivariate correlation.
结果进行t检验及直线相关分析。
Objective To analyze the partial correlation problems by multilevel bivariate models.
目的探讨利用双变量多水平模型分析多重相关中的部分相关问题。
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.
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。
Results the results of correlation analysis with multilevel bivariate models is same with traditional methods, but the former is more quick and simple.
结果同一资料用双变量多水平模型计算的部分相关系数及其显著性检验结果与传统最小二乘法计算结果相同，但前者更加简便、快速。
Results the results of correlation analysis with multilevel bivariate models is same with traditional methods, but the former is more quick and simple.
结果同一资料用双变量多水平模型计算的部分相关系数及其显著性检验结果与传统最小二乘法计算结果相同，但前者更加简便、快速。
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