Analyzing panel count data with a dependent observation process and a terminal event

作者：Zhao, Hui; Li, Yang; Sun, Jianguo^*

来源：Canadian Journal of Statistics, 2013, 41(1): 174-191.

DOI：10.1002/cjs.11143

• Estimating equation
• informative observation process
• panel count data
• semiparametric transformation model
• terminal event

Panel count data occur in many fields and a number of approaches have been developed. However, most of these approaches are for situations where there is no terminal event and the observation process is independent of the underlying recurrent event process unconditionally or conditional on the covariates. In this paper, we discuss a more general situation where the observation process is informative and there exists a terminal event which precludes further occurrence of the recurrent events of interest. For the analysis, a semiparametric transformation model is presented for the mean function of the underlying recurrent event process among survivors. To estimate the regression parameters, an estimating equation approach is proposed in which an inverse survival probability weighting technique is used. The asymptotic distribution of the proposed estimates is provided. Simulation studies are conducted and suggest that the proposed approach works well for practical situations. An illustrative example is provided.

• 出版日期2013-3
• 单位华中师范大学