Case series analysis for censored, perturbed, or curtailed post-event exposures
Case series analysis for censored, perturbed, or curtailed post-event exposures
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DOI：
10.1093/biostatistics/kxn013
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发表时间：
2009-01-01
期刊：
影响因子：
2.1
通讯作者：
Hocine, Mounia N.
中科院分区：
文献类型：
--
作者：
Farrington, C. Paddy;Whitaker, Heather J.;Hocine, Mounia N.
开发了一种新的方法，用于在事件发生审查、缩减或以其他方式影响事件后暴露的情况下分析病例系列数据。无偏估计方程来自自我控制的情况下，系列模型进行了调整，以允许曝光的发生或观察的事件的影响。该方法适用于瞬时点曝光和罕见的非复发事件。在一些特殊情况下，研究了渐近有效性.提出了一种基于伪似然的计算方案，使计算在复杂的模型中是可行的。模拟，验证研究，和2个应用程序进行了描述。
A new method is developed for analyzing case series data in situations where occurrence of the event censors, curtails, or otherwise affects post-event exposures. Unbiased estimating equations derived from the self-controlled case series model are adapted to allow for exposures whose occurrence or observation is influenced by the event. The method applies to transient point exposures and rare nonrecurrent events. Asymptotic efficiency is studied in some special cases. A computational scheme based on a pseudo-likelihood is proposed to make the computations feasible in complex models. Simulations, a validation study, and 2 applications are described.