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Activity Number: 103
Type: Invited
Date/Time: Monday, August 5, 2013 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #307256
Title: Adaptive designs for comparative effectiveness experiments of treatment strategies
Author(s): Philip William Lavori*+ and Mei-Chiung Shih
Companies: Stanford University and Stanford University
Keywords: SMART ; adaptive ; group sequential
Abstract:

Clinical interventions often involve a sequence of decisions based on individual patient characteristics and patient outcomes over time. The Sequential Multiple Assignment Randomized Trial (SMART) provides a way to develop adaptive interventions. One difficulty with SMART designs is that the required total sample size can be large when the number of stages or the number of treatment options at each stage is large. We propose an adaptive design that allows dropping of non-promising adaptive interventions at interim looks of SMARTs based on data collected so far. This leads to simplifications of trial designs as the trial proceeds. We also describe how to use data at the end of trial to inform construction of an optimized adaptive intervention.


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