Feng Siyuan,Li Changping,Hu Liangping,One-level multiple Logistic regression analysis with the multi-value ordered data collected from the unpaired design[J].SICHUAN MENTAL HEALTH,2019,32(5):395-399

One-level multiple Logistic regression analysis with the multi-value ordered data collected from the unpaired design

DOI：10.11886/j.issn.1007-3256.2019.05.003

English keywords:Multi-value ordered dependent variables Cumulative logistic regression analysis Independent variable selection Model evaluation SAS realization

Fund projects:国家高技术研究发展计划课题资助（2015AA020102）

Author Name	Affiliation	Postcode
Feng Siyuan	Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China	300070
Li Changping	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	100029
Hu Liangping	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	100850

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English abstract:

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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