Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21265
Title: Robust estimation for panel count data with informative observation times
Authors: Zhao, X 
Tong, X
Sun, J
Keywords: Informative observation process
Panel count data
Recurrent event process
Robust estimation
Issue Date: 2013
Publisher: Elsevier Science Bv
Source: Computational statistics and data analysis, 2013, v. 57, no. 1, p. 33-40 How to cite?
Journal: Computational Statistics and Data Analysis 
Abstract: Panel count data usually occur in longitudinal follow-up studies that concern occurrence rates of certain recurrent events and their analysis involves two processes. One is the underlying recurrent event process of interest and the other is the observation process that controls observation times. In some situations, the two processes may be correlated and, for this, several estimation procedures have recently been developed (He et al.; 2009; Huang et al.; 2006; Sun et al.; 2007b; Zhao and Tong, 2011). These methods, however, rely on some restrictive models or assumptions such as the Poisson assumption. In this work, a more general and robust estimation approach is proposed for regression analysis of panel count data with related observation times. The asymptotic properties of the resulting estimates are established and the numerical studies conducted indicate that the approach works well for practical situations.
URI: http://hdl.handle.net/10397/21265
ISSN: 0167-9473
DOI: 10.1016/j.csda.2012.05.015
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