| 李长平,胡良平.M∶N配对设计二值资料一水平多重Logistic回归分析[J].四川精神卫生杂志,2019,32(4):310-314.,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 |
| M∶N配对设计二值资料一水平多重Logistic回归分析 |
| One-level multiple Logistic regression analysis of the dichotomous choice data collected from the m∶n paried design |
| 投稿时间：2019-08-01 |
| DOI：10.11886/j.issn.1007-3256.2019.04.004 |
| 中文关键词: M∶N配对设计 派生变量 条件概率 似然函数 迭代计算 |
| 英文关键词:M∶N paired design Derived variable Conditional probability Likelihood function Iterative computation |
| 基金项目:国家高技术研究发展计划课题资助（2015AA020102） |
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| 中文摘要: |
| 【摘要】 本文的目的是介绍m∶n配对设计二值资料一水平多重Logistic回归分析方法。首先，介绍了需要了解的基本概念；其次，介绍了构建此类回归模型的基本原理；最后，通过一个实例介绍了使用SAS实现计算的全过程。在此过程中，获得了如下四点启示：其一，有必要确保所获得的科研资料是值得分析的；其二，有必要基于定量自变量产生派生变量；其三，有必要同时采用“逐步法”“前进法”和“后退法”筛选自变量；其四，有必要采用多种方法评价不同回归模型对资料的拟合优度。 |
| 英文摘要: |
| 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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