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Activity Number:
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154
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Type:
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Contributed
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Date/Time:
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Monday, August 7, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #305653 |
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Title:
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Resampling Methods for Adaptive Designs
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Author(s):
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Hui Zhang*+
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Companies:
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Bristol-Myers Squibb Company
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Address:
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F209B Global Biometric Sciences, Wallingford, CT, 06492,
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Keywords:
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resampling methods ; adaptive designs
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Abstract:
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In clinical trials, the estimation of effects difference is often of primary importance. Proper resampling methods will provide second-order correct estimates, which will outperform the traditional normal approximation. Bootstrapping has been known for i.i.d. random variables. Unfortunately, traditional bootstrap is not applicable because the observations of adaptive designs are dependent due to adaptive allocation. We address this problem by developing and studying resampling methods for dependent data in adaptive designs, including theoretic results and simulations.
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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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