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Activity Number:
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426
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #308842 |
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Title:
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Regression Analysis of Multivariate Panel Count Data
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Author(s):
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Xin He*+ and Xingwei Tong and Jianguo Sun and Richard J. Cook
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Companies:
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University of Missouri-Columbia and Beijing Normal University and University of Missouri-Columbia and University of Waterloo
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Address:
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1548 Towne Dr Apt 3E, Columbia, MO, 65202,
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Keywords:
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Counting processes ; Estimating equations ; Marginal mean model ; Multivariate recurrent events ; Observation processes
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Abstract:
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Panel count data frequently occur in periodic follow-up studies that concern recurrence rates of some recurrent events. Fields that produce such data include epidemiological studies, medical follow-up studies, reliability studies and tumorigenicity experiments. Multivariate panel count data arise if more than one type of recurrent events are of interest and this article discusses regression analysis of multivariate panel count data. For inference, we present a class of marginal mean models which leave the dependence structures for related types of recurrent events completely unspecified. Some estimating equations are developed for inference and the resulting estimates are shown to be consistent and asymptotically normal. Simulation studies are conducted for practical situations and the methodology is applied to a motivating cohort study of patients with psoriatic arthritis.
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