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Abstract Details
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Activity Number:
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674
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Type:
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Contributed
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Date/Time:
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Thursday, August 4, 2011 : 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 - #303139 |
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Title:
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A Spatial Scan Statistic On Trends
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Author(s):
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Jun Luo*+
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Companies:
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Information Management Services
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Address:
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3338 N. Chatham Rd, Ellicott City, MD, 21042,
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Keywords:
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Spatial scan statistic ;
trend ;
linear regression model ;
Likelihood ratio ;
heterogeneity ;
geographic unit
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Abstract:
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Spatial scan statistics have been widely analyzed for detecting clusters of heterogeneous rates. This paper explores a brand-new field of detecting clusters of different relationships of quantities, for instance, linear regression models of log values of age-adjusted rates on years. A typical problem is like, whether the curves of log values of age-adjusted rates of geographic units are parallel (i.e. having same slopes or trends)? If not, then, where are the clusters with high trends? Likelihood ratio is applied for deriving spatial scan statistics that are proposed for 1) detecting heterogeneity of trends over the whole research geographic area 2) detecting clusters of high trends. The methods are illustrated on trends of cancer incidence of states in United States.
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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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