论文标题
半参数竞争风险模型的单一风险方法
A single risk approach to the semiparametric copula competing risks model
论文作者
论文摘要
竞争风险分析的典型情况是，研究人员仅对一部分风险感兴趣。本文认为，根据竞争风险模型的不同，一个风险的分布是参数或半参数模型，而其他风险的模型未知。可识别性的参数模型类别和半参数比例危害模型显示了可识别性。参数模型的可识别性不需要协变量，而半参数模型至少需要一个。建议的估计方法被认为是$ \ sqrt {n} $ - 一致。借助模拟和数据示例，证明了适用性和有限的有限样本性能。
A typical situation in competing risks analysis is that the researcher is only interested in a subset of risks. This paper considers a depending competing risks model with the distribution of one risk being a parametric or semi-parametric model, while the model for the other risks being unknown. Identifiability is shown for popular classes of parametric models and the semiparametric proportional hazards model. The identifiability of the parametric models does not require a covariate, while the semiparametric model requires at least one. Estimation approaches are suggested which are shown to be $\sqrt{n}$-consistent. Applicability and attractive finite sample performance are demonstrated with the help of simulations and data examples.
