This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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656
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 5, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #307663 |
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Title:
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Spatial Scan Statistics with Overdispersion
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Author(s):
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Tonglin Zhang*+
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Companies:
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Purdue University
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Address:
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250 North University Street, West Lafayette, IN, 47907,
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Keywords:
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Clusters ;
Likelihood Ratio Statistics ;
Maximum Likelihood and Moment Estimation ;
Quasi-Poisson Model ;
Spatial Scan Statistics ;
Type I Error Probability
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Abstract:
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The spatial scan statistic has been widely used in spatial disease surveillance and spatial cluster detection. The classical spatial scan statistic assumes the numbers of disease counts in different locations are independently Poisson distributed. However, data may exhibit overdispersion in real applications. This paper proposes a modification of classical spatial scan statistic based on the quasi-Poisson model. Simulation studies show that this modification can substantially reduce type I error probabilities to the significance level, and it is comparable with the classical spatial scan statistic if overdispersion is not present.
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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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