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Abstract Details
Activity Number:
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134
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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Abstract - #306385 |
Title:
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Bayesian Inference for Noninferiority Test of Matched-Pair Binary Data via Continuous Latent Model
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Author(s):
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Yi Qian*+ and Deukwoo Kwon and Jeesun Jung and Jun-mo Nam
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Companies:
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Amgen, Inc. and University of Miami and National Institute on Alcohol Abuse and Alcoholism and National Cancer Institute
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Address:
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One Amgen Center Dr, Thousand Oaks, CA, , United States
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Keywords:
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matched-pair ;
bayesian ;
latent model
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Abstract:
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For a clinical trial with binary outcome, with positive within-pair correlation, the matched-pair design is superior in power compared to a two-sample design, and is commonly used in small-sample trials. McNemar test is well-known in this setting. Several Bayesian approaches were also developed, but the implementation requires complicated computation techniques (Ghosh et al. 2000; Shi et al. 2008, 2009). Here we propose a simplistic Bayesian approach using continuous latent model for non-inferiority test with either difference or ratio of marginal probabilities. External information can also be easily incorporated into the model. We conduct simulation study and present a real data example.
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