JSM 2004 - Toronto

Abstract #300557

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Activity Number: 353
Type: Luncheons
Date/Time: Wednesday, August 11, 2004 : 12:30 PM to 1:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #300557
Title: Cluster Detection in Environmental Health
Author(s): Andrew B. Lawson*+
Companies: University of South Carolina
Address: 800 Sumter St., Columbia, SC, 29208,
Keywords: cluster ; modeling ; space-time ; object recognition ; parameterization
Abstract:

Cluster detection is very important in the analysis of environmental health data. In both the spatial and temporal domain the isolation of "unusual" aggregations of cases of disease is of importance. Public Health departments are often asked to analyse what is perceived to be a "cluster" of disease post hoc. There are many approaches to this problem varying in their degree of parameterization, and paradigm. Various issues related to how clusters are to be detected will be considered, including the definition of clusters, use of random effects, object recognition, space-time clusters, and model parameterization. The role of testing vs. modeling will also be covered.

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Revised March 2004