RL16 Statistical Prediction in Adaptive Designs
*Ming-Dauh Wang, Eli Lilly and Company Keywords: Adaptive designs have been quickly adopted in recent years by pharmaceutical companies to enhance drug development efficiency, especially in pre-confirmatory clinical trials. Even though interim adaptation allows opportunities to adjust imperfect assumptions made prior to initiation of trials, it is also critical to consider inherent variability in future data to be collected when making interim decisions on trial design adjustment. Bayesian prediction is proposed for such a consideration. We will illustrate the approach with applications to interim data monitoring, sample size re-estimation, and adaptive patient allocation.
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Key Dates
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April 30 - May 22, 2013
Invited Abstract Submission Open -
June 4, 2013
Online Registration Opens -
August 9 - August 23, 2013
Invited Abstract Editing -
August 23, 2013
Short Course materials due from Instructors -
August 26, 2013
Housing Deadline -
September 9, 2013
Cancellation Deadline and Registration Closes @ 11:59 pm EDT -
September 16 - September 18, 2013
Marriott Wardman Park, Washington, DC