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Survival analysis

含时变协变量的Cox回归

时变Cox回归是标准Cox比例风险模型的扩展,通过Therneau和Grambsch(2000)开发的计数过程公式引入,允许一个或多个预测变量在受试者随访期间的不同时间点取不同值。当协变量(例如实验室测量值、药物剂量或疾病严重程度评分)随时间变化而不是从研究开始就保持固定时,它是首选方法。

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来源

  1. Therneau, T. M. & Grambsch, P. M. (2000). Modeling Survival Data: Extending the Cox Model. Springer. DOI: 10.1007/978-1-4757-3294-8

如何引用本页

ScholarGate. (2026, June 1). Cox Regression with Time-Varying Covariates. ScholarGate. https://scholargate.app/zh/survival/time-dependent-cox

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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被引用于

ScholarGateTime-Dependent Cox Regression (Cox Regression with Time-Varying Covariates). 于 2026-06-15 检索自 https://scholargate.app/zh/survival/time-dependent-cox · 数据集: https://doi.org/10.5281/zenodo.20539026