Wei Y, Zhou J H, Zhang Z W, Tan Q Y, Zhang M Y, Li J, Shi X M, Lyu Y B
School of Public Health, Jilin University, Changchun 130012, China.
China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Zhonghua Yu Fang Yi Xue Za Zhi. 2020 Oct 6;54(10):1169-1173. doi: 10.3760/cma.j.cn112150-20200804-01092.
Restricted cubic spline Cox proportional hazard regression model analysis is an important method of epidemiological multivariate survival analysis. By comparing the typical Cox regression model and the restricted cubic spline Cox regression model, this study expounds the limitations of the typical Cox regression model, and explains the basic principles and implementation process of the restricted cubic spline Cox proportional hazard regression model. When the follow-up data does not meet the application conditions of the typical Cox regression model, this method can be used to realize the correlation analysis between continuous exposure and outcomes.
限制性立方样条Cox比例风险回归模型分析是流行病学多变量生存分析的重要方法。通过比较典型Cox回归模型和限制性立方样条Cox回归模型，本研究阐述了典型Cox回归模型的局限性，并解释了限制性立方样条Cox比例风险回归模型的基本原理和实施过程。当随访数据不符合典型Cox回归模型的应用条件时，可采用该方法实现连续暴露与结局之间的相关性分析。
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