JSM Activity #166


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Activity ID:  166
Title
* Innovative Statistical Methods for Drug Discovery, Development and Safety Studies
Date / Time / Room Sponsor Type
08/13/2002
8:30 AM - 10:20 AM
Room: H-East Ballroom
Biopharmaceutical Section*, ENAR Topic Contributed
Organizer: Amit Bhattacharyya, GlaxoSmithKline, Inc.
Chair: Ashwini Mathur, GlaxoSmithKline, Inc.
Discussant: 9:55 AM - Amit Bhattacharyya, GlaxoSmithKline, Inc.    
Floor Discussion 10:15 AM
Description

Statistics has been widely used in various disciplines associated with Drug Discovery and Pre-clinical Development and Safety studies. The issues are quite complex in these areas, arising from smaller sample sizes to complicated design issues to multiple testing of hypotheses in varieties of chemical and biomedical processes throughout R&D. These challenges provide more opportunity for innovative techniques used to incorporate the complexities in the designs and processes at various processes in Drug Discovery and early development (including safety). In this session, three well-known applied statisticians who have wide experience in the drug industry will speak on their innovative techniques used to resolve statistical and biological complexities in their studies.
  300074  By:  David  Stock 8:35 AM 08/13/2002
Validation in High Throughput Screening

  300075  By:  Paul  McAllister 8:55 AM 08/13/2002
Use of Generalized Linear Models for the Analysis of Viral Safety Data

  300499  By:  John W. Green 9:15 AM 08/13/2002
Identifying the Maximum Safe Dose in a Toxicity Experiment

  301563  By:  Keith A. Soper 9:35 AM 08/13/2002
Maximizing Power and Assessing the False-Positive Rate in Rodent Carcinogenicity Studies.

JSM 2002

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Revised March 2002