合理进行均值比较——单组和配对设计定量资料多元方差分析  

Reasonably carry out mean value comparison:MANOVA of the quantitative data collected from the single group design and the paired design

作　　者：胡纯严 胡良平 Hu Chunyan;Hu Liangping(Graduate School,Academy of Military Sciences PLA China,Beijing 100850,China;Specialty Committee of Clinical Scientific Research Statistics of World Federation of Chinese Medicine Societies,Beijing 100029,China)

机构地区：[1]军事科学院研究生院,北京100850 [2]世界中医药学会联合会临床科研统计学专业委员会,北京100029

出　　处：《四川精神卫生》2023年第S01期25-29,共5页Sichuan Mental Health

摘　　要：本文目的是介绍与单组设计和配对设计定量资料多元方差分析有关的基本概念、计算方法、两个医学实例以及SAS实现。基本概念包括单组设计与配对设计、均值向量、多元方差分析和前提条件;计算方法涉及一般检验统计量和Hotelling’s T2检验统计量;两个医学实例分别为“结核病患者营养状况的调查资料”和“石杉碱甲治疗增龄相关记忆障碍效果的试验资料”。借助SAS对两个医学实例中的定量资料分别进行一元和多元差异性分析,并对这两类分析方法的区别进行讨论。The purpose of this article was to introduce the basic concepts,calculation methods,two medical examples and SAS implementation related to the multivariate analysis of variance(MANOVA)for quantitative data with the single group design and the paired design.Basic concepts included the single group design and the paired design,mean vector,MANOVA and preconditions,calculation methods involved the general test statistics and Hotelling΄s T2 test statistics,two medical examples were survey data on nutritional status of tuberculosis patients and trial data on the efficacy of huperzine A in the treatment of age-related memory impairment.With the help of SAS software,the univariate and multivariate difference analysis of quantitative data in two medical cases were carried out,and the differences between these two types of analysis approaches were discussed.

关 键 词：单组设计 配对设计 均值向量 方差协方差矩阵 多元方差分析 

分 类 号：R195.1[医药卫生—卫生统计学]