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Abstract Details
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Activity Number:
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369
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Type:
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Roundtables
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Date/Time:
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Tuesday, August 2, 2011 : 12:30 PM to 1:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #300571 |
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Title:
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Practical Issues in Bayesian Adaptive Designs for Early-Phase Clinical Trials
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Author(s):
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Peter Francis Thall*+
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Companies:
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The University of Texas MD Anderson Cancer Center
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Address:
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Department of Biostatistics, Houston, TX, 77230-1402, USA
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Keywords:
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Bayesian statistics ;
Clinical trials ;
Phase I trial ;
Phase II trial ;
Phase I/II trial
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Abstract:
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In recent years, there has been an explosion in published Bayesian methods for design and conduct of early phase clinical trials. These include methods for dose-finding, safety and futility monitoring, adaptive randomization, and dealing with multiple outcomes. Very little attention has been paid to practical issues arising in actual application and implementation of such designs. These include establishing priors, conducting computer simulations to evaluate design properties, and dealing with logistical or ethical issues in applying outcome-adaptive decision rules when accrual is either fast or slow relative to the timeframe for observing outcomes. In this roundtable, we will discuss any or all of these issues. Participants are encouraged to bring examples, additional issues, and questions from their own work.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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