| Wang Hui,Li Changping,Hu Liangping,One-level multiple Logistic regression analysis of the multi-value ordered data collected from the complex sampling survey design[J].SICHUAN MENTAL HEALTH,2019,32(5):400-405 |
| One-level multiple Logistic regression analysis of the multi-value ordered data collected from the complex sampling survey design |
DOI：10.11886/j.issn.1007-3256.2019.05.004 |
| English keywords:Complex sampling survey Multi-value ordered data Logistic regression analysis Sampling weights |
| Fund projects:国家高技术研究发展计划课题资助（2015AA020102） |
| Author Name | Affiliation | Postcode | | Wang Hui | 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: |
| To compare the results of one-level multiple logistic regression analysis of multiple-value ordered data collected from the complex sampling survey design by using different analysis strategies. Four different analysis strategies (treating complex sampling as simple random sampling, considering sampling design without considering sampling weights, considering sampling weights without considering sampling design, and considering both sampling design and sampling weights) were used to model the multi-value ordered data of complex sampling design. In the cumulative logistic regression model fitting results of four different analysis strategies, the partial regression coefficients, standard error and P value of independent variables were all different. In the regression modeling of multi-value ordered data of complex sampling survey design, more accurate and reliable analysis results could be obtained by incorporating sampling design and sampling weights into building regression models. |
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