Recurrent event data with a terminal event commonly arise in longitudinal follow-up studies. We use a weighted composite endpoint of all recurrent and terminal events to assess the overall effects of covariates on the two types of events. A semiparametric additive rates model is proposed to analyze the weighted composite event process and the dependence structure among recurrent and terminal events is left unspecified. An estimating equation approach is developed for inference, and the asymptotic properties of the resulting estimators are established. The finite-sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a bladder cancer study is illustrated.

中文翻译：

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复发和终末事件加权复合终点的半参数加性速率模型。

具有终末事件的复发事件数据通常出现在纵向随访研究中。我们使用所有复发和终末事件的加权复合终点来评估协变量对两种类型事件的总体影响。提出了一个半参数加性速率模型来分析加权复合事件过程，并且未指定重复事件和终止事件之间的依赖结构。为推理开发了一种估计方程方法，并建立了所得估计量的渐近性质。所提出的估计器的有限样本行为通过模拟研究进行评估，并说明了在膀胱癌研究中的应用。