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Activity Number:
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201
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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ENAR
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| Abstract - #308364 |
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Title:
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Quantile Rank Score Tests for Longitudinal Data
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Author(s):
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Huixia Wang*+
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Companies:
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North Carolina State University
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Address:
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2501 Founders Drive, Raleigh, NC, 27695,
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Keywords:
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Information-sharing ; Longitudinal data ; Quantile regression
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Abstract:
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In this talk, I will introduce a quantile inferential method for analyzing longitudinal data. The developed rank score test is easy to implement and it is robust in performance. The proposed approach is applied to probe level microarray data for assessing differential gene expressions. I will focus on an enhanced quantile rank score test, which aims to improve the efficiency of the quantile rank score test at small samples through borrowing information across genes. The extension of rank score test to some other areas will be discussed.
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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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