Dependent censoring with simultaneous death times based on the Generalized Marshall–Olkin model
研究了失效时间可能相等的相依删失模型，提出基于Marshall-Olkin模型的方法，估计边际分布和联合生存概率，并通过模拟和实际数据验证其性能。
In this paper, we consider the problem of dependent censoring models with a positive probability that the times of failure are equal. In this context, we propose to consider the Marshall–Olkin type model and studied some properties of the associated survival copula in its application to censored data. We also introduce estimators for the marginal distributions and the joint survival probabilities under different schemes and show their asymptotic normality under appropriate conditions. Finally, we evaluate the finite-sample performance of our approach relying on a small simulation study with synthetic data real data applications.