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竞争风险下Fine-Gray模型与Cox模型的比较与评价
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Abstract:
在生存分析中经常会遇到存在竞争风险的情形，在存在竞争风险情形下，比较Cox模型与Fine-Gray模型估计的分析效果。本文介绍了在存在竞争风险情形下的Fine-Gray模型，举例说明了Fine-Gray模型风险集的定义以及权重计算方法，并利用Cox模型与Fine-Gray模型对实际存在竞争风险的数据集进行了实例分析，结果表明，Fine-Gray模型与Cox模型分析结果不同，尤其是Cox模型会高估事件的累计发生率。因此，在生存分析中存在竞争风险时，选择Fine-Gray模型进行建模是更适合的。
In survival analysis, scenarios with competing risks are frequently encountered. In the presence of competing risks, the analysis performance of the Cox model and the Fine-Gray model is compared. This paper introduces the Fine-Gray model in the context of competing risks, providing a detailed explanation of the definition of the Fine-Gray model’s risk set and the calculation method for weights. Through example analysis using actual data with competing risks, the paper demonstrates that the results of the Fine-Gray model and the Cox model differ, especially with the Cox model overestimating the cumulative incidence of events. Therefore, in survival analysis, when facing competing risks, choosing the Fine-Gray model for modeling is more suitable.
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