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Activity Number:
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26
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Type:
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Contributed
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Date/Time:
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Sunday, August 2, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #303346 |
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Title:
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Nonparametric Bayesian Analysis of Two Adaptive Clinical Trials
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Author(s):
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Les Huson*+
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Companies:
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Cmed Research, UK
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Address:
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Broadlands Business Campus, Horsham, International, RH12 4QP, United Kingdom
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Keywords:
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Bayesian Bootstrap ; Adaptive Trials ; Bootstrapped Likelihood
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Abstract:
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We describe two simple adaptive clinical trials in which Bayesian posterior densities were used at interim analyses in order to aid decision making. The first trial required a decision about continuation, based on success probabilities, and the second a decision to retain or drop one or more dose arms, In these two trials we derived the relevant posterior densities using the Bayesian modelling language BUGS, and also using two "nonparametric" Bayesian techniques. In this report we describe the main ideas behind the two "nonparametric" techniques, and we compare the posterior densities derived from these different approaches.
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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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