aim: to study multivariate random coefficients model of repeated measures data in medical research.
目的:研究医学重复观测数据的多变量随机系数模型。
repeated measures data are common data in medical research.
重复观测数据是医学研究中常见的数据形式。
conclusion: multivariate random coefficients model can effectively analyze the dynamic change trend and random effects of multivariate repeated measures data in medical research.
结论:多变量随机系数模型可有效地进行多变量重复观测数据的动态变化趋势分析以及随机效应分析。
method:the repeated measures data were analyzed with category variance outcome by gee and conclusions were drawn according to the estimating of parameter and standard error.
方法:利用广义估计方程分析结果指标为分类变量的重复测量资料,通过参数和标準误的估计得出统计学结论。
conclusion mixed model can effectively analyze repeated measures data with sas mixed.
结论mixed可以有效地、全面地分析重复测量数据。