四川精神卫生2024，Vol.37Issue(z1)：1-6,6.DOI:10.11886/scjsws20230830001
合理进行多元分析——多元多重线性回归分析
Reasonably carry out multivariate analysis:multivariate multiple linear regression analysis
胡纯严 1胡良平2
作者信息
- 1. 军事科学院研究生院,北京 100850
- 2. 军事科学院研究生院,北京 100850||世界中医药学会联合会临床科研统计学专业委员会,北京 100029
- 折叠
摘要
Abstract
The purpose of this article was to introduce the basic concepts,calculation methods,two examples and SAS implementation related to the multivariate multiple linear regression analysis.Basic concepts included multivariate multiple regression analysis,ordinary least squares,partial least squares,principal component analysis and canonical correlation analysis.The calculation methods involved data preparation and implementation steps.The data in the two examples were"measurement results of body morphology indicators and functional indicators of Han male students"and"measurement results of physical shape and health status indicators of two groups of subjects".With the help of SAS software,the multivariate multiple linear regression analysis was carried out on the data in the two examples,and an explanation was made for the output results of SAS.关键词
多元多重线性回归分析/普通最小二乘法/偏最小二乘法/主成分分析/典型相关分析Key words
Multivariate multiple linear regression analysis/Ordinary least squares method/Partial least squares method/Principal component analysis/Canonical correlation analysis分类
预防医学引用本文复制引用
胡纯严,胡良平..合理进行多元分析——多元多重线性回归分析[J].四川精神卫生,2024,37(z1):1-6,6.
