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Open Source Statistical Software in Drug Development: Challenges and Opportunities
Program Code:
411
Date:
Thursday, June 28, 2012
Time:
9:00 AM to 10:30 AM
EST
CHAIR
:
Jose Pinheiro,
Janssen Research & Development, LLC, United States
Prior to joining Johnson & Johnson PRD as Senior Director of Adaptive Designs José Pinheiro worked at Bell Labs and Novartis Pharmaceuticals. He has been involved in methodological development in dose-finding, adaptive designs and mixed models.
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PRESENTER
(S):
Dr. Soukup is currently a Team Lead for the Safety Div, Ofc of Biostatistics, CDER. He has been involved in drug & biologics review for +5 yrs. He has been at the forefront on the use of statistical graphics for conveying safety & efficacy data collected in clinical trial research.
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Seth Berry, Quintiles, United States
Dr. Vlad Dragalin is a world-leading expert in adaptive trial design and execution. Dr. Dragalin has over 25 years experience in developing the statistical methodology of adaptive designs, and over 12 years experience in the pharmaceutical industry including positions at GSK, Wyeth, and Quintiles.
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Description
Use of open source software in clinical drug development has been hampered by the incorrect perception that it cannot be validated and, therefore, is not acceptable for regulatory submissions. This session will discuss the challenges, perceived and real, to the broader utilization of open source statistical software in drug development (in industry, as well as in NIH-sponsored trials), and opportunities for addressing those challenges. It will feature speakers with practical experience with the use of open source software in drug development.
Learning Objectives:
Identify existing barriers to broader utilization of open source software in drug development
Describe strategies and processes that have been utilized to validate open source software in the biopharmaceutical industry
Discuss the benefits of open source software versus traditional commercial software.