A large literature has been developed for the analysis of case-cohort studies that are often performed with the aim of reducing the cost on the collection of covariate information. In particular, many authors have discussed their regression analysis under the framework of the additive hazards model, which is often preferred when the risk difference is of main interest. However, all of the existing methods assume or are applicable only to right-censored data. In this paper, we consider the case of interval-censored data, which often occur in practice and include right-censored data as a special case, and propose two estimation approaches, an estimating equation-based method and a maximum likelihood method. The resulting estimators of regression parameters are shown to be consistent and asymptotically normal. Also a simulation study is conducted and suggests that the proposed methods works well in practice, and an application is provided.

中文翻译：

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具有区间删失数据的病例队列研究的附加风险回归

已经开发了大量文献来分析病例队列研究，这些研究通常旨在降低收集协变量信息的成本。特别是，许多作者在加性危害模型的框架下讨论了他们的回归分析，当主要关注风险差异时，这通常是首选。然而，所有现有方法都假设或仅适用于右删失数据。在本文中，我们考虑了在实践中经常发生的区间删失数据的情况，并将右删失数据作为一种特殊情况，并提出了两种估计方法，基于估计方程的方法和最大似然法。结果表明回归参数的估计量是一致且渐近正态的。