 
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.