DIMACS Working Group on Adverse Event/Disease Reporting, Surveillance, and Analysis

October 16 - 18, 2002
DIMACS Center, Rutgers University, Piscataway, New Jersey

Organizer:

Donald Hoover, Rutgers, Statistics, drhoover@stat.rutgers.edu

David Madigan, Rutgers, Statistics, madigan@stat.rutgers.edu

Henry Rolka, CDC, hrr2@cdc.gov

DIMACS Subgroup on Adverse Event/Disease Reporting, Surveillance, and Analysis

DIMACS Working Group on Adverse Event/Disease Reporting, Surveillance, and Analysis II

Slides and presentation files:

• Jana Asher, Carnegie-Mellon University:
  An Introduction to Multiple Systems Estimation for Estimating a Count of Adverse Events (Powerpoint file).
  
  
• Robert Ball, FDA:
  Datamining in the Vaccine Adverse Event Reporting System (VAERS) to Enhance Vaccine Safety Monitoring at the Food and Drug Administration (Powerpoint file).
  
  
• Tom Balzer, Verispan:
  Supplementing Community Public Health Surveillance With Data From Electronic Healthcare Claims (PowerPoint file).
  
• Gil Delgado, Emergint:
  Data Collection, Intergation and Normalization Presented to DIMACS.
  
  Slide 1 Slide 2 Slide 3 Slide 4 Slide 5 Slide 6 Slide 7 Slide 8 Slide 9 Slide 10 Slide 11 Slide 12 Slide 13 Slide 14
  
  
• Owen Devine, CDC:
  Bayesian Methods for Monitoring Public Health Surveillance Data (Powerpoint file).
  
  
• Susan S. Ellenberg, FDA:
  Better Approaches to Monitoring Medical Product Safety are Needed (Powerpoint file).
  
  
• Timothy W. Ellis, Emergint:
  Data Collection, integration, and normalization presented to DIMACS (Powerpoint file).
  
  
• Stephen E. Fienberg, Carnegie-Mellon University:
  DIMACS Workshop Opening-Closing Comments (PDF file).
  
  
• Sean Hennessy, University of Pennsylvania:
  Pharmacoepidemiology - Goals and Methods (Powerpoint file).
  
  
• Martin Kulldorff, University of Connecticut:
  A Tree-Based Scan Statistic for Database Disease Surveillance (Powerpoint file).
  
  
• Farzad Mostashari, NYC Dept. of Health:
  Syndromic Surveillance - The New York City Experience, with some Lessons from the National Syndromic Surveillance Conference (Powerpoint file).
  
  
• Robert O'Neill, FDA:
  FDA's Adverse Event Reporting System and the Use of quantitative Methods for Screening (Powerpoint file).
  
  
• Dan Sosin, CDC:
  Overview of Uses for Public Health Surveillance (Powerpoint file).
  
  
• John Stultz, SAS Institute:
  Data mining methods: Applications, problems and opportunities in the public sector (Powerpoint file).
  
  
• David Walker, CDC:
  Overview of the Information Systems Currently Available to Public Health Researchers (Powerpoint file).