DIA 48th Annual Meeting
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Open Source Statistical Software in Drug Development: Challenges and Opportunities
Track : Track 15: Statistical Science and Quantitative Thinking
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
PRESENTER (S):
 Mat Soukup, FDA, United States
Seth Berry, Quintiles, United States
 Vladimir Dragalin, Aptiv Solutions, United States
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.