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Activity Number:
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517
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Defense and National Security
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| Abstract - #303510 |
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Title:
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Biosurveillance with Multiple-Width-Window Scan Statistics
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Author(s):
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Joseph I. Naus*+
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Companies:
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Rutgers University
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Address:
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Statistics Department, Hill Center Busch Campus, Piscataway, NJ, 08854,
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Keywords:
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scan statistics ; clusters ; biosurveillance
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Abstract:
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Scan statistic methods are used in biosurveillance to determine the significance of clusters taking into account variations in background rates. For the constant background fixed window size case simple accurate approximations to compute p-values are available. For the non-constant background or for simultaneously testing with multiple window sizes, approximations were lacking and simulations used. The present paper discusses approximations to handle multiple window widths in the non-constant null-background temporal retrospective and prospective cases for the continuous, discrete, and ratchet scan statistics.
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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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