结果通过固定效应与随机效应及对协方差矩阵的估计，使重复测量数据得以合理的分析。
Results Repeated measurement obtained reasonable results by the fixed and random effects along with efficient estimate of covariance matrix.
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。
Conclusion: Owing to correlation among repeated measures and its hierarchical error, the statistical analysis with repeated measures is different from other statistical approach.
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.
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