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Activity Number:
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604
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2016 : 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 #321276
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Title:
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A New Approach to Multiple Testing, Results and Applications
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Author(s):
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Nasrine Bendjilali* and Boualem Bendjilali and Wei-Min Huang
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Companies:
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Rowan University and RVCC and Lehigh University
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Keywords:
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multiple testing procedures ;
False Discovery Rate
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Abstract:
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We present a new approach to the problem of multiple testing that utilizes techniques from clustering theory. Simulation analysis demonstrates robust performance under various dependence structures of test statistics with accurately controlling various type I error rates, including the False Discovery Rate (FDR). The proposed new procedure shows a significant improvement in power relative to its competitors. Our proposed method is applied to genomic data and results will be presented. Theoretical properties and simulation results of its performance under various dependence structures will be presented.
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Authors who are presenting talks have a * after their name.
