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Abstract Details
Activity Number:
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616
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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Abstract - #304697 |
Title:
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Weighted Log-Rank Statistic to Compare Shared-Path Adaptive Treatment Strategies
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Author(s):
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Kelley Kidwell*+ and Abdus S. Wahed
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Companies:
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University of Pittsburgh and University of Pittsburgh
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Address:
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561 S Negley Ave., Pittsburgh, PA, 15232-1633, United States
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Keywords:
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Adaptive Treatment Strategies ;
Dynamic Treatment Regime ;
Weighted Log-rank Statistic ;
Counting Process ;
Survival Function ;
Two-Stage Design
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Abstract:
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Adaptive treatment strategies more closely mimic the reality of a physician's prescription process where the physician prescribes a medication to his/her patient and based on that patient's response to the medication, modifies the treatment. Two-stage randomization designs, more generally, sequential multiple assignment randomization trial (SMART) designs, are useful to assess adaptive treatment strategies where the interest is in comparing the entire sequence of treatments, including the patient's intermediate response. In this paper, we introduce the notion of shared-path and separate-path adaptive treatment strategies and propose weighted log-rank statistics to compare overall survival distributions of two or more two-stage, shared-path adaptive treatment strategies. Large sample properties of the statistics are derived and the type I error rate and power of the tests are compared to standard statistics through simulation.
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