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的应用非常广泛。本文从实际应用的角度出发，介绍常用的多变量回归分析方法：多重线性回归、logistic回归、Poisson回归和Cox比例风险回归模型，内容包括多变量回归模型的应用条件、分析步骤、自变量筛选策略、模型扩展讨论和应用注意事项。以期读者对多变量回归分析有所了解，在科研工作中能正确使用多变量回归模型分析，提高数据使用效率和统计分析水平。.
Keywords: Models, statistical; Overview; Regression analysis.