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Analysis of recurrent event data with incomplete observation gaps

Authors
김양진Jhun, Myoungshic
Issue Date
Mar-2008
Publisher
JOHN WILEY SONS LTD
Citation
STATISTICS IN MEDICINE, v.27, no.7, pp 1075 - 1085
Pages
11
Journal Title
STATISTICS IN MEDICINE
Volume
27
Number
7
Start Page
1075
End Page
1085
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/148232
DOI
10.1002/sim.2994
ISSN
0277-6715
1097-0258
Abstract
In analysis of recurrent event data, recurrent events are not completely experienced when the terminating event occurs before the end of a study. To make valid inference of recurrent events, several methods have been suggested for accommodating the terminating event (Statist. Med. 1997; 16:911-924; Biometrics 2000; 56:554-562). In this paper, our interest is to consider a particular situation, where intermittent dropouts result in observation gaps during which no recurrent events are observed. In this situation, risk status varies over time and the usual definition of risk variable is not applicable. In particular, we consider the case when information on the observation gap is incomplete, that is, the starting time of intermittent dropout is known but the terminating time is not available. This incomplete information is modeled in terms of an interval-censored mechanism. Our proposed method is applied to the study of the Young Traffic Offenders Program on conviction rates, wherein a certain proportion of subjects experienced suspensions with intermittent dropouts during the study. Copyright (C) 2007 John Wiley Sons, Ltd.
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