Yu S C, Qi X, Hu Y H, Zheng W J, Wang Q Q, Yao H Y
Office of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Zhonghua Yu Fang Yi Xue Za Zhi. 2019 Mar 6;53(3):334-336. doi: 10.3760/cma.j.issn.0253-9624.2019.03.020.
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.
多变量回归模型分析在医学研究中应用非常广泛。本文介绍了多变量回归模型的分析方法，包括多重线性回归、逻辑回归、泊松回归和Cox比例风险模型。文章内容涵盖回归模型的应用条件、分析步骤、自变量选择策略、回归模型的拓展讨论及应用注意事项。期望作者能够理解多变量回归模型的原理，在研究中准确运用这些分析方法，提高数据利用效率，提升统计分析水平。
