A Conditional Approach for Regression Analysis of Longitudinal Data with Informative Observation Time and Non-negligible Observation Duration
Liang Zhu,
Hui Zhao,
Jianguo Sun and
Stanley Pounds
Communications in Statistics - Theory and Methods, 2014, vol. 43, issue 23, 4998-5011
Abstract:
Recently, there has been a great interest in the analysis of longitudinal data in which the observation process is related to the longitudinal process. In literature, the observation process was commonly regarded as a recurrent event process. Sometimes some observation duration may occur and this process is referred to as a recurrent episode process. The medical cost related to hospitalization is an example. We propose a conditional modeling approach that takes into account both informative observation process and observation duration. We conducted simulation studies to assess the performance of the method and applied it to a dataset of medical costs.
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:43:y:2014:i:23:p:4998-5011
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DOI: 10.1080/03610926.2012.738841
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