This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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631
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Type:
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Contributed
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Date/Time:
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Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Nonparametric Statistics
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Abstract - #306751 |
Title:
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Nonparametric Comparison for Panel Count Data with Unequal Observation Processes
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Author(s):
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Xingqiu Zhao*+ and Jianguo Sun
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Companies:
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The Hong Kong Polytechnic University and University of Missouri
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Address:
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, , ,
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Keywords:
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Counting processes ;
Medical follow-up study ;
Nonparametric comparison ;
Panel count data ;
Unequal observation scheme
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Abstract:
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This article considers nonparametric comparison of several treatment groups based on panel count data. For the problem, most of the existing procedures require that the observation scheme or process is identical across different treatment groups among other requirements. We propose a new class of nonparametric procedures that allow different observation processes. The new test statistics are constructed based on the integrated weighted differences between the estimated mean functions of the underlying recurrent event processes. The asymptotic distributions of the proposed test statistics are established and their finite-sample properties are examined through Monte Carlo simulations, which indicate that the proposed approach works well. An illustrative example is provided.
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Authors who are presenting talks have a * after their name.
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