| 非配对设计二值资料多水平多重Logistic回归分析 |
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| 引用本文： | 刘红伟,张甜甜,李长平,胡良平.非配对设计二值资料多水平多重Logistic回归分析[J].四川精神卫生,2019,32(5):390-394. |
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| 作者姓名： | 刘红伟 张甜甜 李长平 胡良平 |
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| 作者单位： | 天津医科大学公共卫生学院卫生统计学教研室,天津医科大学公共卫生学院卫生统计学教研室,天津医科大学公共卫生学院卫生统计学教研室；世界中医药学会联合会临床科研统计学专业委员会,世界中医药学会联合会临床科研统计学专业委员会；军事科学院研究生院 |
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| 基金项目： | 国家高技术研究发展计划课题资助（2015AA020102） |
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| 摘 要： | 本文目的是介绍非配对设计二值资料多水平多重logistic回归模型的构建与求解方法。首先介绍模型的有关概念及模型的构建原理,基于实例使用SAS软件对列联表资料进行分析,以proc glimmix和proc nlmixed过程构建和求解模型,并对相关结果进行解释和比较。
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| 关 键 词： | 二值资料 多水平 SAS 多重logistic回归分析 |
| 收稿时间： | 2019/9/27 0:00:00 |
Multi-level multiple Logistic regression analysis with the dichotomous choice data collected from the unpaired design |
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| Liu Hongwei,Zhang Tiantian,Li Changping and Hu Liangping.Multi-level multiple Logistic regression analysis with the dichotomous choice data collected from the unpaired design[J].Sichuan Mental Health,2019,32(5):390-394. |
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| Authors: | Liu Hongwei Zhang Tiantian Li Changping and Hu Liangping |
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| Institution: | Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China,Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China,Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China;Specialty Committee of Clinical Scientific Research Statistics of World Federation of Chinese Medicine Societies, Beijing 100029, China and Specialty Committee of Clinical Scientific Research Statistics of World Federation of Chinese Medicine Societies, Beijing 100029, China;Graduate School, Academy of Military Sciences PLA China, Beijing 100850, China |
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| Abstract: | The purpose of this paper was to introduce the construction and solution of multi-level multiple logistic regression models for unpaired design binary data. Firstly, the related concepts of the model and the principle and construction of the model were introduced. The SAS software was used to analyze the contingency table data of the example. The model was constructed and solved by proc glimmix and proc nlmixed procedures, and the related results were explained and compared. |
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| Keywords: | Binary data Multi-level SAS software Multiple logistic regression analysis |
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