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Activity Number:
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105
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #310137 |
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Title:
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Optimal Three-Outcome Designs for Screening Trials of New Agents
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Author(s):
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Vandana Mukhi*+ and Yongzhao Shao
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Companies:
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New York University and New York University
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Address:
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60 Sunflower Ridge Road, South Setauket, NY, 11720,
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Keywords:
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Optimal Design ; Three-outcome ; Screening Trials
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Abstract:
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Recent interests in cancer vaccine development have prompted the need to test a series of agents to screen out promising ones for further study. A typical but major challenge is to use a limited number of patients and other resources to screen a large number of agents or treatments and identify promising ones for further study. Several optimal screening trial designs have been proposed in hypothesis testing framework with two possible outcomes, either reject the null hypothesis or do not reject the null hypothesis. Further extensions have also been proposed in the presence of distributional information on response rates. We further extend the optimal two-stage design to three-outcome framework, where the design allows for three possible outcomes: reject null hypothesis, do not reject the null hypothesis or inconclusive.
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