In clinical and epidemiologic studies of time to event, the treatment effect is often of direct interest, and the treatment effect is not constant over time. In this paper, the authors propose an estimator for the cumulative hazard difference under a stratified additive hazards model. The asymptotic properties of the resulting estimator are established, and the finite-sample properties are examined through simulation studies. An application to a liver cirrhosis data set from the Copenhagen Study Group for Liver Diseases is provided.

中文翻译：

---

在附加危害模型下估算累积处理效果

在事件发生时间的临床和流行病学研究中，治疗效果通常是直接感兴趣的，并且随着时间的推移，治疗效果不是恒定的。在本文中，作者提出了分层累加危害模型下累积危害差异的估算器。建立所得估计量的渐近性质，并通过模拟研究检查有限样本性质。提供了哥本哈根肝病研究小组对肝硬化数据集的应用。