DIMACS Tutorial on Statistical and Other Analytic Health Surveillance Methods
Dates of Tutorial: June 17 - 20, 2003
DIMACS Center, CoRE Building, Rutgers University
- Organizers:
- David Madigan, Rutgers University, madigan@stat.rutgers.edu
- Henry Rolka, CDC, hrr2@cdc.gov
- Martin Kulldorff, University of Connecticut, martink@neuron.uchc.edu
Presented under the auspices of the Special Focus on Computational and Mathematical Epidemiology.
- Michael Baron, U. Texas
Sequential Change-point Analysis for the Early Detection
of Epidemics
- Allan Clark and Andrew Lawson, University of South Carolina
Bayesian Spatial Health Surveillance
- Gregory Cooper, University of Pittsburgh
Bayesian Biosurveillance Using Causal Networks
- William DuMouchel, AT&T Labs
Bayesian Measurement of Associations in
Adverse Drug Reaction Databases
- Richard Ferris, Lincoln Technologies
Detecting Multi-Item Associations and Temporal
Trends Using the WebVDME/MGPS Application
- Marianne Frisen, Goteborg University
Statistical Issues in Online Surveillance
Complicated Problems - Examples
- Dunrie Greiling, TerraSeer Inc.
Surveillance and Pattern Recognition Using TerraSeer Software
- Lynette Hirschman, MITRE
Extracting Epidemiological Information from Free Text
- David Stoffer, University of Pittsburgh
Spatio-Temporal Modeling for Biosurveillance
- Weng-Keen Wong, Carnegie Mellon University
What's Strange About Recent Events (WSARE)
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Document last modified on July 15, 2003.