Research Briefs

Explore our collection of publication summaries for concise overviews and key insights from essential works produced by d3c staff, faculty, and collaborators.

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Comparative Effectiveness of Smoking Cessation Interventions

Designing Reinforcement Learning Algorithms for Digital Interventions

Enhancing Smoking Treatment Research: Key Insights and Strategies

Identifying Effective Components for Smoking Cessation: A Factorial Screening Experiment

Innovative Digital Interventions for HIV Prevention and Care: Adaptive Approaches & Experimental Designs

Intervention Optimization: A Paradigm Shift and Its Potential Implications for Clinical Psychology

Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles

Optimizing Behavioral Interventions for African American/Black and Latino PLWH Results from an Optimization Trial

Optimizing Behavioral Treatment for Obesity: Opt-IN Study

Optimizing HIV Care Continuum for Vulnerable Populations Using MOST Framework

Optimizing Intensive Lifestyle Treatment for Obesity: Opt-IN Study Protocol

Optimizing Tobacco Dependence Treatment in the Emergency Department

Sequential, Multiple Assignment, Randomized Trial Designs

The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations

Portions of this website and the related scientific research were funded by National Institute on Drug Abuse (NIDA) awards P50 DA039838 and P50 DA010075 to The Methodology Center at Penn State, Institute for Educational Sciences award R324B180003 and NIDA award R01 DA039901 to the University of Michigan.

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