American Statistical Association
New York City
Metropolitan Area Chapter

New York State Psychiatric Institute
at Columbia University Medical Center
Biostatistics Seminar



DATA MINING IN THE DRUG DEVELOPMENT PROCESS

by

David Madigan, Ph.D.
Professor and Chair
Department of Statistics
Columbia University


Abstract

Data mining methods play an increasingly important role in drug safety. Prior to approval, clinical trial data can provide important insights into potentially unforeseen drug side effects. Following approval, important data sources include spontaneous report databases, claims databases, and medical record systems. Challenging statistical issues arise in all of these contexts. This talk will review the general area focusing especially on flaws in the current standards for assessing drug safety during the approval process and on recent developments in statistical methodology for monitoring post-approval safety in longitudinal medical claims databases.

Biographical Note

David Madigan is Professor and Chair of Statistics at Columbia University. He has previously worked for AT&T Inc., Soliloquy Inc., the University of Washington, Rutgers University, and SmartForce, Inc. He has over 100 publications in such areas as Bayesian statistics, text mining, Monte Carlo methods, and probabilistic graphical models. He is a Fellow of the American Statistical Association and of the Institute of Mathematical Statistics. He is the current Editor-in-Chief of Statistical Science.


Date: Tuesday, September 9, 2008
Time: 3:30 - 4:30 P.M.
Location: New York State Psychiatric Institute
1051 Riverside Drive
6th Floor Multi-Purpose Room (6602)
New York, New York
(Directions)

RESERVATIONS ARE NOT REQUIRED

Refreshments will be served from 3:00 to 3:30 P.M.,
with a reception from 4:30 to 5:00 P.M.


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