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This is the preliminary program for the 2007 Joint Statistical
Meetings in Salt Lake City, Utah.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2007 Program page |
= Applied Session,
= Theme Session,
= Presenter| CE_18C | Mon, 7/30/07, 8:30 AM - 5:00 PM | CC-150 A-C |
| Temporal Alerting Algorithms for Biosurveillance - Continuing Education - Course | ||
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Section on Statisticians in Defense and National Security, Section on Risk Analysis, Section on Quality and Productivity, ASA |
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| Instructor(s): Howard S. Burkom, Johns Hopkins University, David Banks, Duke University | ||
| This course will present concepts and application issues of statistical alerting algorithms for syndromic surveillance. Methods for prospective monitoring of both univariate and multivariate time series will be included. The public health context and selection of the input data streams will be discussed along with the consequent logistical constraints. The necessary background for statistical process control and data forecasting methodologies will be provided along with explanations of how these traditional approaches are adapted for routine public health implementation. Emphasis will be on applications, with discussion of how to manage seasonal and day-of-week effects and other temporal correlation issues, as well as customary data acquisition problems. Methods for evaluating algorithm detection performance will be presented with the goal of optimizing sensitivity to disease outbreaks at false alarm rates acceptable to public health investigation capability. | ||
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JSM 2007
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |