摘要
探讨重复测量资料的统计分析方法。方法 :用实例说明各种统计模型的适用情况。结果 :重复测量资料具有各时点之间有相关关系 ,且时点相邻较近的数据之间的相关性较强 ,时点相邻较远的数据之间的相关性较弱的特点。传统的统计分析方法、一般的线性模型、广义线性模型没有考虑到观察对象在不同观察时点的内部相关性 ,检验效能较低和易犯 型错误。混合效应模型同时克服了传统分析方法和广义线性模型的缺陷。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。
Objective:To study the statistical methods for repeated measurement data Methods:Using the practical example to illustrate the conditions of various statistical models Results:A characteristic of repeated measurement data is that there is intra subject correlation,and the closer the time point,the higher correlation The common statistical methods,linear models and generalized linear model do not consider the characteristics above,so that the power of them is poor and easy to cause type Ⅰ error The mixed model overcomes their shortcomings Conclusion:The mixed model is the most suitable for the repeated measurement data
出处
《广西医科大学学报》
CAS
2000年第2期264-266,共3页
Journal of Guangxi Medical University
关键词
重复测量资料
临床试验
统计分析
repeated measurement data
generalized linear model
mixed model
