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• W2564845374 abstract "To demonstrate how Q-learning, a novel data analysis method, can be used with data from a sequential, multiple assignment, randomized trial (SMART) to construct empirically an adaptive treatment strategy (ATS) that is more tailored than the ATSs already embedded in a SMART.We use Q-learning with data from the Extending Treatment Effectiveness of Naltrexone (ExTENd) SMART (N = 250) to construct empirically an ATS employing naltrexone, behavioral intervention, and telephone disease management to reduce alcohol consumption over 24 weeks in alcohol dependent individuals.Q-learning helped to identify a subset of individuals who, despite showing early signs of response to naltrexone, require additional treatment to maintain progress.Q-learning can inform the development of more cost-effective, adaptive treatment strategies for treating substance use disorders." @default.
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• W2564845374 date "2017-02-18" @default.
• W2564845374 modified "2023-10-05" @default.
• W2564845374 title "A SMART data analysis method for constructing adaptive treatment strategies for substance use disorders" @default.
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• W2564845374 doi "https://doi.org/10.1111/add.13743" @default.
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