This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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470
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Type:
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Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract - #308001 |
Title:
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On the Use of Historical Information in Selecting Design Type for Phase II Oncology Trials
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Author(s):
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Yiyi Chen*+ and Rongwei (Rochelle) Fu and Zunqiu Chen
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Companies:
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Oregon Health & Science University and Oregon Health & Science University and Oregon Health & Science University
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Address:
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, , ,
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Keywords:
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phase II clinical trials ;
design ;
historical data
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Abstract:
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Some phase II oncology trials are single-arm trials while some other are randomized trials. Both the single-arm and the randomized trials have advantages and disadvantages. In practice, it is generally the clinical investigators who decide whether the trial should be a single-arm or a randomized trial. We argue that this is a critical design decision that should be made with a quantitative evaluation of the available trial resources, pre-trial information and uncertainty on unknown parameters. We propose a Bayesian method in finding the optimal design type that yields the most efficient resource allocation for a phase II oncology trial from three candidates: (1) single-arm design (2) 1:1 randomization design (3) 1:2 randomization design. The application of this method is illustrated by a real clinical trial.
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