Abstract Details
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Activity Number:
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245
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Type:
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Contributed
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Date/Time:
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Monday, August 4, 2014 : 2:00 PM to 2:45 PM
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Sponsor:
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Biopharmaceutical Section
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Abstract #314033
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Title:
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Bayesian Dose-Finding Procedure Based on Information Utility
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Author(s):
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Lei Gao*+ and William F. Rosenberger
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Companies:
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George Mason University and George Mason University
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Keywords:
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adaptive design ;
dose finding ;
best intention ;
Bayesian ;
Gumbel model ;
optimal design
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Abstract:
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In dose-finding studies with toxicity-efficacy responses, utility functions and Bayesian procedures are used to find a single optimal dose with ethical toxicity-efficacy trade-offs. We demonstrate that the design can have convergence issues when the prior information is misspecified. We propose to incorporate an information penalty to obtain multiple-dose allocation with efficient ethical measures. A coefficient is introduced to control the trade-off between information gain and ethical gain. We conduct simulations using MCMC algorithms to compare the two types of design and examine their operating characteristics.
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Authors who are presenting talks have a * after their name.
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