Results: (1) The results from one-variate and multivariate multilevel models were mainly consistent.
结果：(1)一元多水平模型和多元多水平模型筛选变量的结果基本一致。
Objective To explore the special applicability of the multilevel models in analysis of crossover design.
目的探讨多水平模型在交叉设计资料分析中的应用价值。
Conclusion: Multivariate and multilevel models can effectively analyze longitudinal data with several dependent variables.
结论：多元多层模型可有效地分析具有多个因变量的纵向研究资料。
Results Multilevel models can present the variance covariance metrics of two dependent variables in every levels, and make out the functional expresses of correlation coefficient with covariates.
结果双变量多水平模型可以估计各水平两个变量的方差协方差阵，据此可以计算出相关系数随协变量变化的函数式。
Results Multilevel models can present the variance covariance metrics of two dependent variables in every levels, and make out the functional expresses of correlation coefficient with covariates.
结果双变量多水平模型可以估计各水平两个变量的方差协方差阵，据此可以计算出相关系数随协变量变化的函数式。
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