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Statistical analysis of current status data with informative observation times.

机译:对当前状态数据进行统计分析,并提供有益的观察时间。

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摘要

Current status data arise when each study subject is observed only once and the survival time of interest is known only to be either less or greater than the observation time. Such data often occur in, for example, cross-sectional studies, demographical investigations and tumorigenicity experiments and several semi-parametric and non-parametric methods for their analysis have been proposed. However, most of these methods deal only with the situation where observation time is independent of the underlying survival time completely or given covariates. This paper discusses regression analysis of current status data when the observation time may be related to the underlying survival time and inference procedures are presented for estimation of regression parameters under the additive hazards regression model. The procedures can be easily implemented and are applied to two motivating examples.
机译:当前状态数据出现在每个研究对象仅观察一次且感兴趣的生存时间仅小于或大于观察时间时。这样的数据经常出现在例如横断面研究,人口统计学研究和致瘤性实验中,并且已经提出了几种用于分析的半参数和非参数方法。但是,大多数这些方法仅处理观察时间完全独立于基础生存时间或具有给定协变量的情况。本文讨论了当观察时间可能与潜在生存时间有关时的当前状态数据的回归分析,并提出了在累加危害回归模型下估算回归参数的推理程序。该过程可以轻松实现,并应用于两个激励示例。

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