,One-level multiple Logistic regression analysis of the dichotomous choice data collected from the m∶n paried design[J].SICHUAN MENTAL HEALTH,2019,32(4):310-314
One-level multiple Logistic regression analysis of the dichotomous choice data collected from the m∶n paried design
DOI:10.11886/j.issn.1007-3256.2019.04.004
English keywords:M∶N paired design  Derived variable  Conditional probability  Likelihood function  Iterative computation
Fund projects:国家高技术研究发展计划课题资助(2015AA020102)
Author NameAffiliation
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 
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 
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English abstract:
      The purpose of this paper was to introduce the approach of multiple Logistic regression analysis for the binary data collected from the m∶n paired design. Firstly, the basic concepts that need to be understood were introduced. Secondly, the basic principle of constructing such regression model was presented. Finally, the whole process of computing with SAS was shown by an example. In this process, the following four useful enlightenments had been obtained: ① it was necessary to ensure that the scientific research data obtained were worth analyzing; ② it was necessary to generate the derived variables based on quantitative independent variables; ③ it was necessary to adopt the “stepwise method”“forward method” and “backward method” to screen the independent variables at the same time; ④ it was necessary to use several approaches to evaluate the goodness of fit of the different regression models.
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