Abstract The incident/dynamic time-dependent AUC (Area Under the ROC Curve) is an appealing measure to express the discriminative value of a dynamic survival model. However, estimation of this measure is not straightforward. Four recently proposed estimation approaches are studied. In an extensive simulation study, a head-to-head comparison between these four estimation methods is made. The estimation algorithms of some of the methods are extended. Results are illustrated with a motivating dynamic survival model from Reproductive Medicine.

中文翻译：

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实践中事件动态AUC的估计

摘要 事件/动态时间相关 AUC（ROC 曲线下的面积）是表达动态生存模型判别值的一种有吸引力的度量。然而，对这一措施的估计并不简单。研究了最近提出的四种估计方法。在广泛的模拟研究中，对这四种估计方法进行了正面比较。一些方法的估计算法得到了扩展。结果用来自生殖医学的激励动态生存模型进行说明。