With the development of the computer technology and the improvement of the experiment technology, there often are the regression problems which include more independent variables in medical data.
随着电子计算技术的飞速发展和实验技术的不断提高,医学资料中经常出现包含较多自变量的大型回归问题。
In practical work, it is frequent that there is power relation among independent variables when the correlation between dependent variable and independent variables is explained by regression model.
在实际工作中,人们在采用回归模型解释因果变量间的相关关系时,经常会遇到自变量之间存在幂乘关系的情况。
However, when try to regression independent variables to the dependent variables in multivariate analysis, the coefficients are all non-zero. So these models lack of interpretation.
然而,在多元线性分析方法中,当求解因变量对自变量的回归时,得到的组合系数往往均不为零,因此这种回归模型的主要缺点是缺乏可解释性。
However, when try to regression independent variables to the dependent variables in multivariate analysis, the coefficients are all non-zero. So these models lack of interpretation.
然而,在多元线性分析方法中,当求解因变量对自变量的回归时,得到的组合系数往往均不为零,因此这种回归模型的主要缺点是缺乏可解释性。
应用推荐