胡纯严,胡良平.如何正确运用χ2检验——高维表资料齐性检验与SAS实现[J].四川精神卫生杂志,2021,34(3):202-207.Hu Chunyan,Hu Liangping,How to use χ2 test correctly——the homogeneity test for the data of a multiway table and the implementation of SAS software[J].SICHUAN MENTAL HEALTH,2021,34(3):202-207 |
如何正确运用χ2检验——高维表资料齐性检验与SAS实现 |
How to use χ2 test correctly——the homogeneity test for the data of a multiway table and the implementation of SAS software |
投稿时间:2021-05-14 |
DOI:10.11886/scjsws20210514004 |
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中文摘要: |
本文目的是介绍一种特殊高维表(即g×2×2表)资料优势比的齐性检验方法及SAS实现。在SAS/STAT的FREQ过程中,详细介绍了5种优势比齐性检验方法,分别是“Breslow-Day检验”“Breslow-Day-Tarone检验”“Q检验”“I2![]() 度量统计量及其不确定性限值”和“Zelen?s精确检验”。另外,还介绍了相对危险度与危险率差的齐性检验方法。文章结合两个实例,介绍了基于SAS软件实现优势比齐性检验的具体内容,对输出结果进行了解释,并做出了统计结论和专业结论。 |
英文摘要: |
The purpose of the paper was to introduce the methods for the homogeneity test of odds ratio of a special multiway table (i.e g×2×2 table) and its SAS implementation. In the FREQ procedure of SAS/STAT, five approches for the homogeneity tests of odds ratio were introduced in detail. They were "Breslow-Day test""Breslow-Day-Tarone test""Q test""I2![]() measurement statistic and its uncertainty limit" and "Zelen?s exact test". In addition, the approaches for "the homogeneity tests of the relative risk and the difference of the risk rate" were also introduced. Combining two examples, the article introduced the concrete content of the homogeneity test for the odds ratio based on SAS software, explained the output results, and concluded the statistical and professional conclusions. |
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