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Activity Number:
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278
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Type:
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Invited
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Date/Time:
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Tuesday, August 5, 2008 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #301567 |
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Title:
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Identifying Optimal Cumulative Treatment Regimes in Early-Phase Clinical Trials
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Author(s):
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Thomas M. Braun*+
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Companies:
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The University of Michigan
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Address:
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1420 Washington Heights, Ann Arbor, MI, 48109,
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Keywords:
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dose-finding ; Phase I trial ; maximum tolerated dose ; Bayesian methods ; adaptive design
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Abstract:
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Optimal treatment regimes for cancer are no longer based upon a single administration of an experimental agent, as the cumulative dose needed to maximize cytotoxicity must be divided into a series of administrations to prevent treatment-related toxicity to patients. However, the optimal combination of (1) number of administrations, (2) timing of each administration, and (3) dose given at each administration is typically unknown. We present a dynamic outcome-adaptive design that simultaneously optimizes both dosing and administration in order to determine a maximum tolerated treatment regime. We describe our modeling approaches and graphically present the execution of our design in a hypothetical trial in 60 bone marrow transplant patients designed to select which of 12 possible regimes leads to toxicity in approximately 30% of patients within 116 days of beginning treatment.
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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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