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Activity Number:
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146
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Type:
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Contributed
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Date/Time:
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Monday, August 7, 2006 : 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 - #307385 |
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Title:
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A Comparison of Two Methods for Disease Surveillance
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Author(s):
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Gerald Shoultz*+ and Paul Stephenson and J. Wanzer Drane
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Companies:
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Grand Valley State University and Grand Valley State University and University of South Carolina
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Address:
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Department of Statistics, Allendale, MI, 49401,
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Keywords:
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cusum ; disease surveillance ; Texas ; Shewhart
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Abstract:
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This paper compares two methods for testing hypothesis usable in disease surveillance and process control to determine which is more powerful: TEXAS (Hardy et al 1980) and CUSUM (Hawkins and Olwell 1998). TEXAS, a modification of the procedures of Shewhart (1931), uses a two-step decision rule to determine when a process is under control. CUSUM finds a process to be out-of-control when the sum of a set of measurements exceeds a given threshold. First, the authors will discuss how these process control procedures can be used to monitor disease surveillance. Then the authors will present a simulation that compares the performance of the TEXAS and CUSUM methods to examine which method is more powerful for a variety of hypotheses.
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