This article discusses regression analysis of multivariate panel count data in which the observation process may contain relevant information about or be related to the underlying recurrent event processes of interest. Such data occur if a recurrent event study involves several related types of recurrent events and the observation scheme or process may be subject‐specific. For the problem, a class of semiparametric transformation models is presented, which provides a great flexibility for modelling the effects of covariates on the recurrent event processes. For estimation of regression parameters, an estimating equation‐based inference procedure is developed and the asymptotic properties of the resulting estimates are established. Also the proposed approach is evaluated by simulation studies and applied to the data arising from a skin cancer chemoprevention trial. The Canadian Journal of Statistics 39: 458–474; 2011 © 2011 Statistical Society of Canada

中文翻译：

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具有相关观察过程的多变量面板计数数据的半参数转换模型。


本文讨论了多元面板计数数据的回归分析，其中观察过程可能包含有关感兴趣的潜在重复事件过程或与之相关的相关信息。如果经常性事件研究涉及几种相关类型的经常性事件并且观察方案或过程可能是针对特定主题的，则会出现此类数据。针对该问题，提出了一类半参数变换模型，为建模协变量对循环事件过程的影响提供了很大的灵活性。为了估计回归参数，开发了基于估计方程的推理程序，并建立了所得估计的渐近特性。此外，所提出的方法还通过模拟研究进行了评估，并应用于皮肤癌化学预防试验中产生的数据。加拿大统计杂志 39：458–474； 2011 © 2011 加拿大统计学会