Overview of multivariate regression model analysis and application
10.3760/cma.j.issn.0253-9624.2019.03.020
- VernacularTitle: 多变量回归模型分析应用概述
- Author:
Shicheng YU
1
;
Xiao QI
;
Yuehua HU
;
Wenjing ZHENG
;
Qiqi WANG
;
Hongyan YAO
Author Information
1. Office of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
- Publication Type:Journal Article
- Keywords:
Regression analysis;
Models, statistical;
Overview
- From:
Chinese Journal of Preventive Medicine
2019;53(3):334-336
- CountryChina
- Language:Chinese
-
Abstract:
Analyses of the multivariate regression model are ued very widely in the medical research. Analytical methods of the mutivariate regression model including multiple linear regression, logistic regression, Poisson regression and Cox proportional hazard model were introduced in this article. The contents of the article covered the application conditions of regression models, analytical procedures, strategies of selecting independent variables, extended discussions of regression models and application notes. It is expected that authors could understand the principle of the mutivariate regression model, accurately use these analytical methods in their research, improve the efficiency of data utilization, and enhance the level of statistical analyses.
