| 胡纯严,胡良平.如何正确运用χ2检验——高维表资料相对危险度分析与SAS实现[J].四川精神卫生杂志,2021,34(3):214-219.Hu Chunyan,Hu Liangping,How to use χ2 test correctly——the analysis of common relative risk for the data of a multiway table and the implementation of SAS software[J].SICHUAN MENTAL HEALTH,2021,34(3):214-219 |
| 如何正确运用χ2检验——高维表资料相对危险度分析与SAS实现 |
| How to use χ2 test correctly——the analysis of common relative risk for the data of a multiway table and the implementation of SAS software |
| 投稿时间：2021-05-14 |
| DOI：10.11886/scjsws20210514006 |
| 中文关键词: 齐性检验 共同相对危险度 置信区间 固定效应模型 随机效应模型 |
| 英文关键词:Homogeneity test Common relative risk Confidence interval Fixed effects model Random effects model |
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| 中文摘要: |
| 本文目的是介绍g×2×2表资料的相对危险度分析方法和基于SAS软件实现计算的方法。内容包括以下几个方面：其一，g×2×2表资料的齐性检验；其二，当资料满足齐性要求时，基于校正的方法对共同相对危险度进行点估计和置信区间估计；其三，当资料不满足齐性要求时，基于DerSimonian-Laird法（简称DL法）估计共同相对危险度RRDL及其95%置信区间；其四，资料满足与不满足齐性要求时，检验“共同相对危险度是否等于1”。本文结合两个实例并基于SAS软件，分别实现了针对相对危险度的齐性检验、资料满足齐性要求与不满足齐性要求条件下，共同相对危险度的点估计及其置信区间估计，并对SAS输出结果进行了解释，做出统计结论和专业结论。 |
| 英文摘要: |
The purpose of the paper was to introduce the relative risk analysis method of g×2×2 table data and the calculation method based on SAS software. The contents included the following aspects： firstly， the homogeneity test of the data in the g×2×2 table was performed； secondly， when the data met the homogeneity requirements， the point estimation and confidence interval estimation of the common relative risk based on the correction method were implemented； thirdly， when the data did not meet the requirements of homogeneity， the common relative risk RRDL![]() ![]() and its 95% confidence interval were estimated， based on the DerSimonian-Laird method （DL method for short）； fourthly， when the data met and did not meet the requirements of homogeneity， the hypothesis of "whether the common relative risk equals to 1" was tested. Combining two examples and based on SAS software， the paper completed the following three tasks： ① the homogeneity test for the relative risk； ② the point estimation of the common relative risk； ③the confidence interval estimation of the common relative risk. The last two tasks were performed under the conditions of the data met and did not meet the homogeneity requirements， respectively. The output results of SAS software were explained， and the statistical and professional conclusions were made. |
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