| ,One-level multiple Logistic regression analysis with the dichotomous choice data collected from the unpaired design[J].SICHUAN MENTAL HEALTH,2019,32(4):297-303 |
| One-level multiple Logistic regression analysis with the dichotomous choice data collected from the unpaired design |
DOI：10.11886/j.issn.1007-3256.2019.04.002 |
| English keywords:Binary data One-level Derived variables Weighted regression Multiple Logistic regression analysis |
| Fund projects:国家高技术研究发展计划课题资助（2015AA020102） |
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| The purpose of this paper was to introduce the construction and solution of one-level multiple Logistic regression model with binary data collected from the unpaired design. Based on SAS software package, the qualitative data presented in the form of contingency tables and databases were analyzed comprehensively and thoroughly, and four valuable conclusions were obtained to improve the goodness of fit. First, if the data were presented as contingency tables, the weighted Logistic regression model should be fitted. Second, if the data contained quantitative independent variables, which were not suitable for transforming into qualitative variables. Third, if the data contained quantitative independent variables, derived independent variables should be generated according to quantitative independent variables and binary independent variables. Fourth, if there were qualitative independent variables in the data, the multi-valued nominal or ordered independent variables should be transformed into dummy variables, and the derived independent variables did not need to be generated according to the binary independent variables. |
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