| 复杂抽样调查设计多值有序资料一水平多重Logistic回归分析 |
| |
| 引用本文： | 王慧,李长平,胡良平.复杂抽样调查设计多值有序资料一水平多重Logistic回归分析[J].四川精神卫生,2019,32(5):400-405. |
| |
| 作者姓名： | 王慧 李长平 胡良平 |
| |
| 作者单位： | 天津医科大学公共卫生学院卫生统计学教研室,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,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 |
| |
| 基金项目： | 国家高技术研究发展计划课题资助（2015AA020102） |
| |
| 摘 要： | 本文目的是比较不同分析策略对复杂抽样调查设计多值有序资料一水平多重logistic回归分析结果的异同。通过实例分析,利用四种不同的分析策略(将复杂抽样视为单纯随机抽样,考虑抽样设计不考虑抽样权重,考虑抽样权重不考虑抽样设计,同时考虑抽样设计和抽样权重)对复杂抽样设计多值有序资料进行建模。在四种不同分析策略的累积logistic回归模型拟合的结果中,自变量的偏回归系数、标准误差及P值均有所不同。在对复杂抽样调查设计的多值有序资料回归建模时,将抽样设计和抽样权重纳入统计分析,会得到更准确、更稳健的分析结果。
|
| 关 键 词： | 复杂抽样设计 多值有序资料 Logistic回归分析 抽样权重 |
| 收稿时间： | 2019/9/27 0:00:00 |
One-level multiple Logistic regression analysis of the multi-value ordered data collected from the complex sampling survey design |
| |
| Wang Hui,Li Changping and 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. |
| |
| Authors: | Wang Hui Li Changping and Hu Liangping |
| |
| Institution: | Department of Health Statistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China,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 and 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 |
| |
| 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. |
| |
| Keywords: | Complex sampling survey Multi-value ordered data Logistic regression analysis Sampling weights |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《四川精神卫生》浏览原始摘要信息 |
| 点击此处可从《四川精神卫生》下载免费的PDF全文 |
|
