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Abstract Details
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Activity Number:
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513
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #305878 |
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Title:
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Data Monitoring in Clinical Trials Using Innovative and Practical Bayesian Tool
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Author(s):
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Soumi Lahiri*+
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Companies:
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GlaxoSmithKline
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Address:
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1250 South Collegeville Road, Collegeville, PA, 19426, United States
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Keywords:
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Interim analysis ;
Bayesian ;
Predictive probability
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Abstract:
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Interim analyses are often planned in large clinical trials to rule out futility of an ineffective drug or to stop the trial due to dramatic benefit. Several methods have been developed to assess efficacy and safety of the study drug during interim. A Bayesian prediction, based on simulation, is proposed as a useful and practical tool for quantitative monitoring of clinical trials. Monitoring tools are discussed for binary, continuous and time-to-event endpoints. Numerical examples are used to illustrate the methodology further.
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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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