This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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175
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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ENAR
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| Abstract - #308175 |
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Title:
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Analysis of Bivariate Recurrent Event Data with Incomplete Observation Gaps
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Author(s):
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Yang-Jin Kim+ and EunHee Choi* and Jinheum Kim and Chung Mo Nam
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Companies:
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Sookmyung Women's University and Yonsei University College of Medicine and Suwon University and Yonsei University
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Address:
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, Seoul, , S.Korea
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Keywords:
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Abstract:
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In a longitudinal study, subjects can experience several types of recurrent events. Also, there may exist intermittent dropouts resulting in repeated observation gaps during which no recurrent events are observed. In this paper, we consider a special case when information on the observation gap is incomplete, that is, the terminating time of observation gap is not available while the starting time is known. Such incomplete information is incorporated in terms of multivariate interval censored mechanism. We propose a marginal rate models with estimated risk functions using both nonparametric and semiparametric methods. Estimating equations are derived for estimating parameters. A proposed method is applied to the YTOP dataset on two kinds of conviction with intermittent suspensions.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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