凤思苑,李长平,胡良平.非配对设计多值有序资料一水平多重Logistic回归分析[J].四川精神卫生杂志,2019,32(5):395-399.
非配对设计多值有序资料一水平多重Logistic回归分析
One-level multiple Logistic regression analysis with the multi-value ordered data collected from the unpaired design
投稿时间:2019-09-27  
DOI:10.11886/j.issn.1007-3256.2019.05.003
中文关键词:  多值有序因变量  累积logistic回归分析  自变量筛选  模型评价  SAS实现
英文关键词:Multi-value ordered dependent variables  Cumulative logistic regression analysis  Independent variable selection  Model evaluation  SAS realization
基金项目:国家高技术研究发展计划课题资助(2015AA020102)
作者单位邮编
凤思苑 天津医科大学公共卫生学院卫生统计学教研室 300070
李长平 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 100029
胡良平 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 100850
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中文摘要:
      本文目的是介绍非配对设计多值有序资料一水平多重logistic回归模型的构建与求解方法。本文详细介绍了构建累积logistic回归模型的原理和具体方法,并结合实例介绍如何使用SAS软件中的LOGISTIC过程来拟合此回归模型,并对逐步回归法的输出结果进行了解释;其次讨论了有关构建累积logistic回归模型的过程中自变量筛选、模型评价以及拟合模型时需注意的问题。
英文摘要:
      The purpose of this paper was to introduce the construction and solution of one-level multiple logistic regression models for unpaired design multi-value ordered data. This paper introduced the principle and methods of cumulative logistic regression model in detail, and introduced how to use the LOGISTIC procedure of SAS software to fit the regression model, and explained the results of the screening independent variables by using stepwise method. In addition, the paper discussed the problems that should be paid attention to in the process of constructing the cumulative logistic regression model, such as independent variable selection, model evaluation and model fitting.
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