摘要
CMH统计分析是在MH统计分析方法的基础上发展并提出的,用于分层分析,即控制非试验因素后对保留下来的由原因变量与结果变量构成的2×2、R×2、2×C、R×C二维列联表资料的统计学处理。这种方法可以控制一个或多个原因变量,而考察关注的一个原因变量对结果变量的影响。本文结合实例,对高维列联表资料和用SAS软件进行统计学处理的方法进行了介绍,并给出了结果解释。
Cochran-Mantel-Haenszel（CMH） statistics were developed on the basis of MH statistic,which was commonly used in stratified analysis for the control of non-experimental factors in the data for 2 × 2,R × 2,2 × C and R × C two-dimensional contingency tables.With the advantage of controlling one or more independent variables,this method was developed to analyze the effects of the one independent variable on the dependent variables.With a practical example of multi-dimensional contingency table,this article presents the solution by SAS software and the explanation of results.
出处
《药学服务与研究》
CAS
CSCD
2013年第5期332-335,共4页
Pharmaceutical Care and Research
