摘要
本文目的是介绍加性与广义加性模型回归分析的概念、作用以及用软件实现计算的方法。先介绍有关的基本概念,再介绍基本原理,最后通过一个实例并基于SAS软件演示如何实施加性模型回归分析。结果表明:相对于引入派生变量进行常规多重线性回归分析而言,加性与广义加性模型回归分析能够更好地提升模型对资料的拟合效果。
The purpose of this paper was to introduce the concepts,functions and the calculation methods by using the statistical software of the regression analysis based on the additive model and generalized additive model. Firstly,the basic concepts of the regression analysis were introduced. Secondly,the basic principles of the regression analysis were given. Finally,the regression analysis based on the additive model was demonstrated through one example by using the SAS software. The results showed that the additive model regression analysis could improve the fitted effect greatly than the result acquired by using derived variables in conventional multiple linear regression analysis.
作者
胡良平
Hu Liangping(Graduate School, Academy of Military Sciences PLA China, Beijing 100850, China;Specialty Committee of Clinical Sciientific Research Statistics of World Federation of Chinese Medicine Societies, Beijing 100029, China)
出处
《四川精神卫生》
2018年第4期289-295,共7页
Sichuan Mental Health
基金
国家高技术研究发展计划课题资助(2015AA020102)
关键词
加性模型
广义加性模型
样条函数
光滑分量
Additive model
Generalized additive model
Spline function
Smoothing component