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.
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).
