repeated measurement

Objective To explore statistical approaches to analyzing factorial designed repeated measurement data.

摘要目的探讨析因设计重复测量资料的统计分析方法.

Conclusion Mixed linear model can be used to analyze repeated measurement data in single-sample.

结论混合线性模型可以有效地、全面地分析单样本重复测量资料.

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。

Conclusion: The mixed model is the most suitable for the repeated measurement data.

结论: 混合效应模型是目前临床试验资料统计分析强有力的方法.

The control system controls the table to rotate at a constant speed. Optical zero pointing sensor converts the reflecting light into electrical impulse to control the counter. Through many times of measurement and data processing in the computer, the repeated measurement accuracy reaches ± 0.2 arcsec.

RLS输出信号作速度反馈，控制系统控制转台恒速转动，光学指零传感器将反射光束转换成电脉冲，控制计数器工作，通过多次重复测量和计算机数据处理，使重复测量精度达到±0.2arcsec。

The Statistical Analysis with Repeated Measurement of Categorical Data

重复测量分类数据的分析

Objective : To study the statistical methods for repeated measurement data.

目的: 探讨重复测量资料的统计分析方法.