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Abstract Details

Activity Number: 616
Type: Contributed
Date/Time: Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract - #304697
Title: Weighted Log-Rank Statistic to Compare Shared-Path Adaptive Treatment Strategies
Author(s): Kelley Kidwell*+ and Abdus S. Wahed
Companies: University of Pittsburgh and University of Pittsburgh
Address: 561 S Negley Ave., Pittsburgh, PA, 15232-1633, United States
Keywords: Adaptive Treatment Strategies ; Dynamic Treatment Regime ; Weighted Log-rank Statistic ; Counting Process ; Survival Function ; Two-Stage Design
Abstract:

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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