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Statistical Methods for Analysis of Integrated Safety Data
Program Code:
322
Date:
Wednesday, June 27, 2012
Time:
8:00 AM to 9:30 AM
EST
CHAIR
:
Xiaoming Li, Gilead Sciences, Inc., United States
PRESENTER
(S):
Dr. DuMouchel (PhD , Statistics, Yale) is Chief Statistical Scientist at Oracle Health Sciences. He authored over 50 papers on Statistics and Data Mining, is a Fellow of ASA and IMS and invented GPS, a widely used method for measuring associations between drug exposures and adverse reactions.
|
Ram Tiwari, FDA, United States
David Radley, Merck & Co., Inc., United States
Description
In clinical development, safety profile of the candidate pharmaceutical/biological product became more and more important, given that there is more likely an existing treatment for the target disease on the market and the potential target population growth. Accordingly, development of statistical methods that can be applied for safety analyses have drawn much attention lately. In this session, industry and regulatory agency speakers will discuss the new developments in this important area.
Learning Objectives:
Discuss the available approaches to analyzing an integrated summary of safety data.