Hypothesis test
Fine-Gray 竞争风险模型
Fine-Gray 模型是一种用于生存数据的半参数回归方法，其中两种或多种互斥的事件类型竞争发生。该模型由 Fine 和 Gray 于 1999 年提出，直接对每种事件类型的子分布风险进行建模，允许协变量与累积发生函数 (CIF) 相关联——CIF 是真正回答“在时间 t 之前发生 k 类事件的概率是多少？”的量。它纠正了标准的 Cox 回归模型众所周知的缺点，即该模型忽略了竞争事件，从而高估了特定原因的概率。
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来源
- Fine, J.P. & Gray, R.J. (1999). A Proportional Hazards Model for the Subdistribution of a Competing Risk. Journal of the American Statistical Association, 94(446), 496–509. DOI: 10.1080/01621459.1999.10474144 ↗
- Austin, P.C. et al. (2016). Introduction to the Analysis of Survival Data in the Presence of Competing Risks. Circulation, 133(6), 601–609. DOI: 10.1161/CIRCULATIONAHA.115.017719 ↗
如何引用本页
ScholarGate. (2026, June 1). Fine-Gray Proportional Subdistribution Hazards Model. ScholarGate. https://scholargate.app/zh/statistics/fine-gray-competing-risks
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.
- Cox比例风险模型流行病学↔ compare
- Kaplan-Meier生存估计量生存分析↔ compare
- 对生存曲线进行比较的 Log-Rank 检验生存分析↔ compare
- 柔性参数生存模型（Royston-Parmar）生存分析↔ compare
- 含时变协变量的Cox回归生存分析↔ compare