Liu Hongwei,Zhang Tiantian,Li Changping,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

Multi-level multiple Logistic regression analysis with the dichotomous choice data collected from the unpaired design

DOI：10.11886/j.issn.1007-3256.2019.05.002

English keywords:Binary data Multi-level SAS software Multiple logistic regression analysis

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

Author Name	Affiliation	Postcode
Liu Hongwei	Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China	300070
Zhang Tiantian	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 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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