胡纯严,胡良平.如何正确运用χ2检验——高维表资料统计分析方法概述[J].四川精神卫生杂志,2021,(3):197-201.
如何正确运用χ2检验——高维表资料统计分析方法概述
How to use χ2 test correctly——the overview of the statistical analysis methods for the data of a multiway table
投稿时间:2021-05-14  
DOI:10.11886/scjsws20210514003
中文关键词:  加权χ2检验  CMH χ2检验  Meta分析  离散选择模型
英文关键词:Weighted χ2 test  CMH χ2 test  Meta analysis  Discrete choice model
基金项目:
作者单位邮编
胡纯严 军事科学院研究生院北京 100850 100850
胡良平 军事科学院研究生院北京 100850
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 
100029
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中文摘要:
      本文目的是介绍高维表资料的种类及其对应的统计分析方法。基于结果变量的资料类型,常见的高维表资料可分为以下三类,即结果变量为二值变量、多值名义变量和多值有序变量。高维表资料的统计分析方法主要有两大类,第一类为广义差异性分析,内容包括“加权χ2检验”“CMH χ2检验”和“Meta分析”;第二类为回归分析,内容包括“对数线性回归模型分析”“Logistic回归模型分析”“Probit回归模型分析”和“离散选择模型分析”。
英文摘要:
      The purpose of this article was to introduce the types of a multiway table data and their corresponding statistical analysis methods. Based on the data types of the result variables, common high-dimensional table data could be divided into the following three categories, namely, the high-dimensional table data with binary variables, multi-valued nominal variables and multi-valued ordinal variables as the result variables. There were two main categories of the statistical analysis methods for the multiway table data. The first category was the generalized difference analysis, in which the contents included "weighted χ2 test""CMH χ2 test" and "Meta analysis", the second category was the regression analysis, in which the contents included "log linear regression model analysis""Logistic regression model analysis" "probit regression model analysis" and "discrete choice model analysis".
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