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Featured Publications
A Digital Health Intervention (SweetGoals) for Young Adults With Type 1 Diabetes: Protocol for a Factorial Randomized Trial
A neurobehavioral account for decentering as the salve for the distressed mind
A Pilot Study of Emotion Regulation Therapy for Generalized Anxiety and Depression: Findings From a Diverse Sample of Young Adults
A sequential multiple assignment randomized trial (SMART) protocol for empirically developing an adaptive preventive intervention for college student drinking reduction
Adapting just-in-time interventions to vulnerability and receptivity: conceptual and methodological considerations
Adaptive intervention for prevention of adolescent suicidal behavior after hospitalization: a pilot sequential multiple assignment randomized trial
Adaptive intervention for prevention of adolescent suicidal behavior after hospitalization: a pilot sequential multiple assignment randomized trial
Addressing selection bias and measurement error in COVID-19 case count data using auxiliary information
Adoption of opioid-prescribing guidelines in primary care: a realist synthesis of contextual factors
Advancing behavioral interventions for African American/Black and Latino persons living with HIV using a new conceptual model that integrates critical race theory, harm reduction, and self-determination theory: a qualitative exploratory study
All together now: utilizing common functional change principles to unify cognitive behavioral and mindfulness-based therapies
Application of community-engaged dissemination and implementation science to improve health equity
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Batch policy learning in average reward Markov decision processes
Behavior change versus stability during the college-to-work transition: Life course and the “stickiness” of alcohol misuse at career entry
Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning
Cost and Effort Considerations for the Development of Intervention Studies Using Mobile Health Platforms: Pragmatic Case Study
Counterfactual inference for sequential experimental design
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines
Developing an Adaptive Mobile Intervention to Address Risky Substance Use Among Adolescents and Emerging Adults: Usability Study
Digital Prompts to Increase Engagement With the Headspace App and for Stress Regulation Among Parents: Feasibility Study
Dynamic models of stress-smoking responses based on high-frequency sensor data
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial
End User Participation in the Development of an Ecological Momentary Intervention to Improve Coping With Cannabis Cravings: Formative Study
Engagement in digital interventions
Estimating causal effects with optimization-based methods: A review and empirical comparison
Estimating time-varying causal excursion effect in mobile health with binary outcomes
Expanding access to medications for opioid use disorder in primary care clinics: an evaluation of common implementation strategies and outcomes
Hierarchical network models for exchangeable structured interaction processes
Hybrid Experimental Designs for Intervention Development: What, Why, and How
Increased Attention Regulation from Emotion Regulation Therapy for Generalized Anxiety Disorder
Innovative Health Care Delivery: The Scientific and Regulatory Challenges in Designing mHealth Interventions
Integrating Intensive Longitudinal Data (ILD) to Inform the Development of Dynamic Theories of Behavior Change and Intervention Design: a Case Study of Scientific and Practical Considerations
IntelligentPooling: practical Thompson sampling for mHealth
itMatters: Optimization of an online intervention to prevent sexually transmitted infections in college students
Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support
Just-in-Time Adaptive Interventions for Suicide Prevention: Promise, Challenges, and Future Directions
Main outcomes of M-bridge: A sequential multiple assignment randomized trial (SMART) for developing an adaptive preventive intervention for college drinking
MCMTC: A Pragmatic Framework for Selecting an Experimental Design to Inform the Development of Digital Interventions
mRisk: Continuous Risk Estimation for Smoking Lapse from Noisy Sensor Data with Incomplete and Positive-Only Labels
Multitiered Systems of Support, Adaptive Interventions, and SMART Designs
New Directions for Motivational Incentive Interventions for Smoking Cessation
Obesity prevention practices in early care and education settings: an adaptive implementation trial
Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health
Online structural kernel selection for mobile health
Predicting short-term suicidal thoughts in adolescents using machine learning: developing decision tools to identify daily level risk after hospitalization
Primary aim results of a clustered SMART for developing a school-level, adaptive implementation strategy to support CBT delivery at high schools in Michigan
Rejoinder: ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’
Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care
Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome
Search Publications
A Digital Health Intervention (SweetGoals) for Young Adults With Type 1 Diabetes: Protocol for a Factorial Randomized Trial
A neurobehavioral account for decentering as the salve for the distressed mind
A Pilot Study of Emotion Regulation Therapy for Generalized Anxiety and Depression: Findings From a Diverse Sample of Young Adults
A sequential multiple assignment randomized trial (SMART) protocol for empirically developing an adaptive preventive intervention for college student drinking reduction
Adapting just-in-time interventions to vulnerability and receptivity: conceptual and methodological considerations
Adaptive intervention for prevention of adolescent suicidal behavior after hospitalization: a pilot sequential multiple assignment randomized trial
Adaptive intervention for prevention of adolescent suicidal behavior after hospitalization: a pilot sequential multiple assignment randomized trial
Addressing selection bias and measurement error in COVID-19 case count data using auxiliary information
Adoption of opioid-prescribing guidelines in primary care: a realist synthesis of contextual factors
Advancing behavioral interventions for African American/Black and Latino persons living with HIV using a new conceptual model that integrates critical race theory, harm reduction, and self-determination theory: a qualitative exploratory study
All together now: utilizing common functional change principles to unify cognitive behavioral and mindfulness-based therapies
Application of community-engaged dissemination and implementation science to improve health equity
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Batch policy learning in average reward Markov decision processes
Behavior change versus stability during the college-to-work transition: Life course and the “stickiness” of alcohol misuse at career entry
Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning
Cost and Effort Considerations for the Development of Intervention Studies Using Mobile Health Platforms: Pragmatic Case Study
Counterfactual inference for sequential experimental design
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines
Developing an Adaptive Mobile Intervention to Address Risky Substance Use Among Adolescents and Emerging Adults: Usability Study
Digital Prompts to Increase Engagement With the Headspace App and for Stress Regulation Among Parents: Feasibility Study
Dynamic models of stress-smoking responses based on high-frequency sensor data
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial
End User Participation in the Development of an Ecological Momentary Intervention to Improve Coping With Cannabis Cravings: Formative Study
Engagement in digital interventions
Estimating causal effects with optimization-based methods: A review and empirical comparison
Estimating time-varying causal excursion effect in mobile health with binary outcomes
Expanding access to medications for opioid use disorder in primary care clinics: an evaluation of common implementation strategies and outcomes
Hierarchical network models for exchangeable structured interaction processes
Hybrid Experimental Designs for Intervention Development: What, Why, and How
Increased Attention Regulation from Emotion Regulation Therapy for Generalized Anxiety Disorder
Innovative Health Care Delivery: The Scientific and Regulatory Challenges in Designing mHealth Interventions
Integrating Intensive Longitudinal Data (ILD) to Inform the Development of Dynamic Theories of Behavior Change and Intervention Design: a Case Study of Scientific and Practical Considerations
IntelligentPooling: practical Thompson sampling for mHealth
itMatters: Optimization of an online intervention to prevent sexually transmitted infections in college students
Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support
Just-in-Time Adaptive Interventions for Suicide Prevention: Promise, Challenges, and Future Directions
Main outcomes of M-bridge: A sequential multiple assignment randomized trial (SMART) for developing an adaptive preventive intervention for college drinking
MCMTC: A Pragmatic Framework for Selecting an Experimental Design to Inform the Development of Digital Interventions
mRisk: Continuous Risk Estimation for Smoking Lapse from Noisy Sensor Data with Incomplete and Positive-Only Labels
Multitiered Systems of Support, Adaptive Interventions, and SMART Designs
New Directions for Motivational Incentive Interventions for Smoking Cessation
Obesity prevention practices in early care and education settings: an adaptive implementation trial
Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health
Online structural kernel selection for mobile health
Predicting short-term suicidal thoughts in adolescents using machine learning: developing decision tools to identify daily level risk after hospitalization
Primary aim results of a clustered SMART for developing a school-level, adaptive implementation strategy to support CBT delivery at high schools in Michigan
Rejoinder: ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’
Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care
Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome
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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Different Tools for Different Decisions
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April 30, 2024
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May 6, 2024, 11 a.m. EDT
Experimental Designs for Adapting Digital Interventions
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Missing Data in Micro-Randomized Trials: Challenges and Opportunities
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