Projects per year
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Collaborations and top research areas from the last five years
Projects
- 7 Finished
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Real-time prediction of marijuana use & effects of use on cognition in the natural environment
National Institute on Drug Abuse
4/1/17 → 2/29/20
Project: Research project
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Mechanisms of Change for an Effective Alcohol Text Message Intervention
Chung, T. & Suffoletto, B.
National Institute on Alcohol Abuse and Alcoholism
9/20/16 → 12/31/19
Project: Research project
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Integrating longitudinal research on adolescent AUDs with imaging and genetics
National Institute on Alcohol Abuse and Alcoholism
12/1/09 → 11/30/14
Project: Research project
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Mechanisms of Change in Alcohol Treatment for Dually Diagnosed Youth
9/10/07 → 8/31/10
Project: Research project
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Social Network Influences on Adolescent AUD Treatment Outcomes
National Institute on Alcohol Abuse and Alcoholism
6/1/04 → 7/31/15
Project: Research project
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Desire to get drunk partially mediates effects of a combined text message-based alcohol intervention for young adults
Suffoletto, B. & Chung, T., May 1 2023, In: Drug and Alcohol Dependence. 246, 109848.Research output: Contribution to journal › Article › peer-review
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Effectiveness of text message interventions with different behavior change techniques on alcohol consumption among young adults: a five-arm randomized controlled trial
Suffoletto, B., Pacella, M., Huber, J. & Chung, T., Feb 2023, In: Addiction. 118, 2, p. 265-275 11 p.Research output: Contribution to journal › Article › peer-review
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Examining the influence of adolescent:provider alliance on youth hazardous drinking: Findings from a randomized controlled trial
Dash, G. F., Chung, T., Yang, M., Bryan, A. D., Hudson, K. A. & Feldstein Ewing, S. W., Jan 2023, In: Addictive Behaviors. 136, 107499.Research output: Contribution to journal › Article › peer-review
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Goal commitment and goal confidence mediate the path between desire to get drunk and binge drinking among young adults receiving text message goal-related feedback
Suffoletto, B. & Chung, T., May 2023, In: Alcoholism: Clinical and Experimental Research. 47, 5, p. 1010-1021 12 p.Research output: Contribution to journal › Article › peer-review
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Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study
Bae, S. W., Suffoletto, B., Zhang, T., Chung, T., Ozolcer, M., Islam, M. R. & Dey, A. K., 2023, In: JMIR Formative Research. 7, e39862.Research output: Contribution to journal › Article › peer-review
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