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Abstract Details
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Activity Number:
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316
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Type:
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Invited
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Date/Time:
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Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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General Methodology
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| Abstract - #300230 |
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Title:
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Practical Implementations of Decision-Theoretic Multiple Inferences
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Author(s):
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Peter Westfall*+ and Russ Wolfinger and Randy Tobias and Ananda Managa
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Companies:
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Texas Tech University and SAS Institute Inc. and SAS Institute Inc. and Sam Houston State University
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Address:
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Department of Information Systems and Quantitative, Lubbock, TX, 79409-2101,
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Keywords:
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Multiple Comparisons ;
Multiple Testing ;
Familywise Error Rate ;
False Discovery Rate ;
Bayesian Methods ;
Scale up
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Abstract:
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With so many multiple comparisons methods to choose from, practitioners face a bewildering array of choices. And they just want to know, "which is the best method?" Decision theoretic methods offer an answer to the question; and modern computing allows simple, Monte Carlo-based solutions. The problem is then determining the loss functions. The question of "scientific loss" due to Type I and Type II errors is considered carefully in the context of genomic data, loss functions are carefully developed, and recommendations are given. The methods are implemented using SAS software.
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