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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 - #304064 |
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Title:
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An Objective Bayes Approach to the Multiple Co-Primary Endpoints Problem
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Author(s):
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Kimberly Crimin*+ and Robb Muirhead` and Andrew Grieve
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Companies:
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Wyeth Research and Pfizer Inc. and King's College London
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Address:
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500 Arcola Rd, A36, Collegeville, PA, 19426,
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Keywords:
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Bayesian ; multiple endpoints ; IUT ; clinical trials ; LRT
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Abstract:
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Many diseases are characterized by multiple co-primary endpoints and regulatory agencies require statistical significance be achieved on all of the endpoints for the drug to be deemed efficacious. The standard statistical approach is to use an intersection-union test (IUT). The IUT preserves the false-positive error rate at the desired level, but may be extremely conservative. We present a Bayesian approach to the multiple co-primary endpoints problem which is based on the joint posterior distribution of all the co-primary endpoints. The Bayesian approach incorporates correlations among the co-primary endpoints through the sample covariance matrix. We present results from a simulation study. We also provide examples using a standard objective prior and a non-standard objective prior.
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