将多反应变量模型应用到临床实践中。
To apply the multiple response variables model into clinical practice.
反应变量包括运动性疲劳与慢性疲劳。
The response variables included exertion fatigue and chronic fatigue.
知觉网络质量与服务内容，将影响情感反应变量在模型中。
The perceived Web quality with service contents would influence affective reaction variables in the model.
以生存时间为反应变量的生存分析为这项研究提供了合理有效的分析方法。
Survival analysis with the survival length as reaction variable can offer a reasonable and effective analytic method.
三类累积模型要求资料反应变量为有序分类且样本量较大、阳性率不太低。
The data must be ordinal response, enough sample size and not too low event rate for the cumulative models.
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.
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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