Quantitative Methods in Defense and National Security 2007
Abstract

A Power Analysis of Two Surveillance Methods in Terms of Average Run Lengths
Gerald Shoultz, (Department of Statistics, Grand Valley State University), shoultzg@gvsu.edu,
Paul Stephenson, (Department of Statistics, Grand Valley State University), stephenp@gvsu.edu, and
J. Wanzer Drane, (Department of Epidemiology and Biostatistics, University of South Carolina), wdrane@gwm.sc.edu

Abstract

This talk 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 out-of-control. CUSUM finds a process to be out-of-control when the sum of a set of measurements exceeds a given threshold. While there are many reasons for monitoring disease incidence in a community or region, one likely application of such methodology is identifying if a government agency should investigate whether or not a terrorist event has occurred. 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 determine which method is more powerful for a variety of hypotheses.


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