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近年来,在医学科研和疾病防治工作中,统计分析方法得到广泛的应用。在过去,人们常用单因素分析的方法(如 t 检验、u 检验等)进行统计处理,这种方法,只能对各因素的影响个别地加以对比研究,而多因素分析,则可以把各种因素的内在联系揭示出来。因而多因素分析特别是其中的判别分析日益受到重视。判别分析就是根据多种因素对事物的影响,从而对事物的属性进行判别分类的统计方法。判别分析适用于已经掌握了历史上分类的每一个类别的若干样品,从而希望根据
In recent years, statistical analysis methods have been widely used in medical research and disease prevention and control. In the past, people often used single-factor analysis methods (such as t-tests, u-tests, etc.) to perform statistical processing. This method can only be compared and studied individually for the effects of various factors, and multi-factor analysis can be used to The intrinsic links of the factors are revealed. Therefore, multi-factor analysis, especially the discriminant analysis among them, has been paid more and more attention. Discriminant analysis is a statistical method of discriminating and classifying the attributes of things according to the influence of various factors on things. Discriminant analysis applies to a number of samples that have grasped each category in the history of classification, and hopefully