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Abstract Details
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Activity Number:
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30
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Type:
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Contributed
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Date/Time:
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Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #306778 |
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Title:
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A Power Comparison of a Robust Approach to Multiple Testing
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Author(s):
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Nasrine Bendjilali*+ and Wei-Min Huang and Boualem Bendjilali
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Companies:
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University of California at San Francisco and Lehigh University and RVCC
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Address:
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, , CA, 94110,
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Keywords:
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False Discovery Rate ;
p-value ;
multiple testing procedures
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Abstract:
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In this article, we test the performance of a robust class of multiple testing procedures. These procedures use the jump size between the potential "smallest null" p-value and the potential "largest alternative" p-value. Then, the size of the jump is compared against a critical value and is used to determine the stopping rule of the procedure. In order to control for type I error rate, we evaluate the performance of these procedures using different critical values. A power comparison using simulation suggests that these procedures have a control of many type I error rates including the false discovery rate(FDR).
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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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