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Featured Publications
A Digital Health Intervention (SweetGoals) for Young Adults With Type 1 Diabetes: Protocol for a Factorial Randomized Trial
JMIR Research Protocols
Stanger C, Kowatsch T, Xie H, Nahum-Shani I, Lim-Liberty F, Anderson M, Santhanam P, Kaden S, Rosenberg B.
A neurobehavioral account for decentering as the salve for the distressed mind
Current Opinion in Psychology
King AP, Fresco DM.
A Pilot Study of Emotion Regulation Therapy for Generalized Anxiety and Depression: Findings From a Diverse Sample of Young Adults
Behavior Therapy
Renna ME, Quintero JM, Soffer A, Pino M, Ader L, Fresco DM, Mennin DS.
A sequential multiple assignment randomized trial (SMART) protocol for empirically developing an adaptive preventive intervention for college student drinking reduction
Contemporary Clinical Trials
Patrick ME, Boatman JA, Morrell N, Wagner AC, Lyden GR, Nahum-Shani I, King CA, Bonar EE, Lee CM, Larimer ME, Vock DM, Almirall D.
Adapting just-in-time interventions to vulnerability and receptivity: conceptual and methodological considerations
Digital Therapeutics for Mental Health and Addiction: The State of the Science and Vision for the Future (Academic Press)
Nahum-Shani I, Wetter D, Murphy S.
Adaptive intervention for prevention of adolescent suicidal behavior after hospitalization: a pilot sequential multiple assignment randomized trial
Journal of Child Psychology and Psychiatry
Czyz EK, King CA, Prouty D, Micol VJ, Walton M, Nahum-Shani I.
Adaptive intervention for prevention of adolescent suicidal behavior after hospitalization: a pilot sequential multiple assignment randomized trial
Journal of Child Psychology and Psychiatry, and Allied Disciplines
Czyz EK, King CA, Prouty D, Micol VJ, Walton M, Nahum-Shani I.
Addressing selection bias and measurement error in COVID-19 case count data using auxiliary information
Annals of Applied Statistics (Forthcoming)
Walter Dempsey
Adoption of opioid-prescribing guidelines in primary care: a realist synthesis of contextual factors
BMJ Open
Jacobson N, Johnson RA, Schlabach C, Incha J, Madden L, Almirall D, Garza RH, Deyo B, Schumacher N, Stephenson C, Quanbeck A.
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
International Journal for Equity in Health
Gwadz M, Cluesman SR, Freeman R, Collins LM, Dorsen C, Hawkins RL, Cleland CM, Wilton L, Ritchie AS, Torbjornsen K, Leonard NR, Martinez BY, Silverman E, Israel K, Kutnick A.
All together now: utilizing common functional change principles to unify cognitive behavioral and mindfulness-based therapies
Current Opinion in Psychology
Fresco DM, Mennin DS
Application of community-engaged dissemination and implementation science to improve health equity
Preventative Medicine Reports
Schlechter CR, Del Fiol G, Lam CY, Fernandez ME, Greene T, Yack M, Schulthies S, Nelson M, Bohner C, Pruhs A, Siaperas T, Kawamoto K, Gibson B, Nahum-Shani I, Walker TJ, Wetter DW.
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Biometrika
Shi J, Wu Z, Dempsey W.
Batch policy learning in average reward Markov decision processes
Annals of Statistics
Liao P, Qi Z, Wan R, Klasnja P, Murphy SA.
Behavior change versus stability during the college-to-work transition: Life course and the “stickiness” of alcohol misuse at career entry
Personnel Psychology
Liu S, Bamberger P, Wang M, Nahum-Shani I, Larimer M, Bacharach S.
Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning
ArXiv Preprint
Rathnam S, Murphy SA, Doshi-Velez F.
Cost and Effort Considerations for the Development of Intervention Studies Using Mobile Health Platforms: Pragmatic Case Study
JMIR Formative Research
Thorpe D, Fouyaxis J, Lipschitz JM, Nielson A, Li W, Murphy SA, Bidargaddi N
Counterfactual inference for sequential experimental design
ArXiv Preprint
Dwivedi R, Tian K, Tomkins S, Klasnja P, Murphy S, Shah D.
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines
Algorithms
Trella AL, Zhang KW, Nahum-Shani I, Shetty V, Doshi-Velez F, Murphy SA.
Developing an Adaptive Mobile Intervention to Address Risky Substance Use Among Adolescents and Emerging Adults: Usability Study
JMIR mHealth and uHealth
Coughlin LN, Nahum-Shani I, Philyaw-Kotov ML, Bonar EE, Rabbi M, Klasnja P, Murphy S, Walton MA.
Digital Prompts to Increase Engagement With the Headspace App and for Stress Regulation Among Parents: Feasibility Study
JMIR Formative Research
Militello L, Sobolev M, Okeke F, Adler DA, Nahum-Shani I.
Dynamic models of stress-smoking responses based on high-frequency sensor data
npj Digital Medicine
Hojjatinia S, Daly ER, Hnat T, Hossain SM, Kumar S, Lagoa CM, Nahum-Shani I, Samiei SA, Spring B, Conroy DE.
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial
NPJ Digital Medicine
Wang J, Fang Y, Frank E, Walton MA, Burmeister M, Tewari A, Dempsey W, NeCamp T, Sen S, Wu Z.
End User Participation in the Development of an Ecological Momentary Intervention to Improve Coping With Cannabis Cravings: Formative Study
JMIR Formative Research
Anderson MA, Budney AJ, Jacobson NC, Nahum-Shani I, Stanger C.
Engagement in digital interventions
The American Psychologist
Nahum-Shani I, Shaw SD, Carpenter SM, Murphy SA, Yoon C.
Estimating causal effects with optimization-based methods: A review and empirical comparison
European Journal of Operational Research
Cousineau M, Verter V, Murphy SA, Pineau J.
Estimating time-varying causal excursion effect in mobile health with binary outcomes
Biometrika
Qian T, Yoo H, Klasnja P, Almirall D, Murphy SA.
Expanding access to medications for opioid use disorder in primary care clinics: an evaluation of common implementation strategies and outcomes
Implementation Science Communications
Cheng H, McGovern MP, Garneau HC, Hurley B, Fisher T, Copeland M, Almirall D.
Hierarchical network models for exchangeable structured interaction processes
Journal of the American Statistical Association
Dempsey W, Oselio B, Hero A.
Hybrid Experimental Designs for Intervention Development: What, Why, and How
Advances in Methods and Practices in Psychological Science
Nahum-Shani I, Dziak JJ, Walton MA, Dempsey W.
Increased Attention Regulation from Emotion Regulation Therapy for Generalized Anxiety Disorder
Cognitive Therapy and Research
Renna ME, Seeley SH, Heimberg RG, Etkin A, Fresco DM, Mennin DS.
Innovative Health Care Delivery: The Scientific and Regulatory Challenges in Designing mHealth Interventions
National Academy of Medicine Perspectives
Saghafian S, Murphy SA.
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
Prevention Science
Potter LN, Yap J, Dempsey W, Wetter DW, Nahum-Shani I.
IntelligentPooling: practical Thompson sampling for mHealth
Machine Learning
Tomkins S, Liao P, Klasnja P, Murphy SA
itMatters: Optimization of an online intervention to prevent sexually transmitted infections in college students
Journal of American College Health
Wyrick DL, Tanner AE, Milroy JJ, Guastaferro K, Bhandari S, Kugler KC, Thorpe S, Ware S, Miller AM, Collins LM.
Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support
Annals of Behavioral Medicine
Inbal Nahum-Shani, Shawna N Smith, Bonnie Spring, Katie Witkiewitz, Linda M Collins, Ambuj Tewari, S Murphy
Just-in-Time Adaptive Interventions for Suicide Prevention: Promise, Challenges, and Future Directions
Psychiatry
Coppersmith DDL, Dempsey W, Kleiman EM, Bentley KH, Murphy SA, Nock MK.
Main outcomes of M-bridge: A sequential multiple assignment randomized trial (SMART) for developing an adaptive preventive intervention for college drinking
Journal of Consulting and Clinical Psychology
Patrick ME, Lyden GR, Morrell N, Mehus CJ, Gunlicks-Stoessel M, Lee CM, King CA, Bonar EE, Nahum-Shani I, Almirall D, Larimer ME, Vock DM.
MCMTC: A Pragmatic Framework for Selecting an Experimental Design to Inform the Development of Digital Interventions
Frontiers in Digital Health
Nahum-Shani I, Dziak JJ, Wetter DW.
mRisk: Continuous Risk Estimation for Smoking Lapse from Noisy Sensor Data with Incomplete and Positive-Only Labels
Proceedings of the ACM on interactive, mobile, wearable, and ubiquitous technologies
Ullah MA, Chatterjee S, Fagundes CP, Lam C, Nahum-Shani I, Rehg JM, Wetter DW, Kumar S.
Multitiered Systems of Support, Adaptive Interventions, and SMART Designs
Exceptional Children
Roberts G, Clemens N, Doabler CT, Vaughn S, Almirall D, Nahum-Shani I.
New Directions for Motivational Incentive Interventions for Smoking Cessation
Frontiers in Digital Health
Coughlin LN, Bonar EE, Walton MA, Fernandez AC, Duguid I, Nahum-Shani I.
Obesity prevention practices in early care and education settings: an adaptive implementation trial
Implementation Science
Swindle T, Rutledge JM, Selig JP, Painter J, Zhang D, Martin J, Johnson SL, Whiteside-Mansell L, Almirall D, Barnett-McElwee T, Curran GM.
Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health
Journal of the American Statistical Association
Liao P, Klasnja P, Murphy S.
Online structural kernel selection for mobile health
ArXiv Preprint
Shin E, Klasnja P, Murphy S, Doshi-Velez F.
Predicting short-term suicidal thoughts in adolescents using machine learning: developing decision tools to identify daily level risk after hospitalization
Psychological Medicine
Czyz EK, Koo HJ, Al-Dajani N, King CA, Nahum-Shani I.
Primary aim results of a clustered SMART for developing a school-level, adaptive implementation strategy to support CBT delivery at high schools in Michigan
Implementation Science Communications
Smith SN, Almirall D, Choi SY, Koschmann E, Rusch A, Bilek E, Lane A, Abelson JL, Eisenberg D, Himle JA, Fitzgerald KD, Liebrecht C, Kilbourne AM.
Rejoinder: ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’
Biometrika
Qian T, Yoo H, Klasnja P, Almirall D, Murphy SA.
Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care
Proceedings of the 37th AAAI Conference on Artificial Intelligence
Trella AL, Zhang KW, Nahum-Shani I, Shetty V, Doshi-Velez F, Murphy SA.
Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome
Statistical Methods in Medical Research
Seewald NJ, Kidwell KM, Nahum-Shani I, Wu T, McKay JR, Almirall D.
Search Publications
A Digital Health Intervention (SweetGoals) for Young Adults With Type 1 Diabetes: Protocol for a Factorial Randomized Trial
JMIR Research Protocols
Stanger C, Kowatsch T, Xie H, Nahum-Shani I, Lim-Liberty F, Anderson M, Santhanam P, Kaden S, Rosenberg B.
A neurobehavioral account for decentering as the salve for the distressed mind
Current Opinion in Psychology
King AP, Fresco DM.
A Pilot Study of Emotion Regulation Therapy for Generalized Anxiety and Depression: Findings From a Diverse Sample of Young Adults
Behavior Therapy
Renna ME, Quintero JM, Soffer A, Pino M, Ader L, Fresco DM, Mennin DS.
A sequential multiple assignment randomized trial (SMART) protocol for empirically developing an adaptive preventive intervention for college student drinking reduction
Contemporary Clinical Trials
Patrick ME, Boatman JA, Morrell N, Wagner AC, Lyden GR, Nahum-Shani I, King CA, Bonar EE, Lee CM, Larimer ME, Vock DM, Almirall D.
Adapting just-in-time interventions to vulnerability and receptivity: conceptual and methodological considerations
Digital Therapeutics for Mental Health and Addiction: The State of the Science and Vision for the Future (Academic Press)
Nahum-Shani I, Wetter D, Murphy S.
Adaptive intervention for prevention of adolescent suicidal behavior after hospitalization: a pilot sequential multiple assignment randomized trial
Journal of Child Psychology and Psychiatry
Czyz EK, King CA, Prouty D, Micol VJ, Walton M, Nahum-Shani I.
Adaptive intervention for prevention of adolescent suicidal behavior after hospitalization: a pilot sequential multiple assignment randomized trial
Journal of Child Psychology and Psychiatry, and Allied Disciplines
Czyz EK, King CA, Prouty D, Micol VJ, Walton M, Nahum-Shani I.
Addressing selection bias and measurement error in COVID-19 case count data using auxiliary information
Annals of Applied Statistics (Forthcoming)
Walter Dempsey
Adoption of opioid-prescribing guidelines in primary care: a realist synthesis of contextual factors
BMJ Open
Jacobson N, Johnson RA, Schlabach C, Incha J, Madden L, Almirall D, Garza RH, Deyo B, Schumacher N, Stephenson C, Quanbeck A.
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
International Journal for Equity in Health
Gwadz M, Cluesman SR, Freeman R, Collins LM, Dorsen C, Hawkins RL, Cleland CM, Wilton L, Ritchie AS, Torbjornsen K, Leonard NR, Martinez BY, Silverman E, Israel K, Kutnick A.
All together now: utilizing common functional change principles to unify cognitive behavioral and mindfulness-based therapies
Current Opinion in Psychology
Fresco DM, Mennin DS
Application of community-engaged dissemination and implementation science to improve health equity
Preventative Medicine Reports
Schlechter CR, Del Fiol G, Lam CY, Fernandez ME, Greene T, Yack M, Schulthies S, Nelson M, Bohner C, Pruhs A, Siaperas T, Kawamoto K, Gibson B, Nahum-Shani I, Walker TJ, Wetter DW.
Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference
Biometrika
Shi J, Wu Z, Dempsey W.
Batch policy learning in average reward Markov decision processes
Annals of Statistics
Liao P, Qi Z, Wan R, Klasnja P, Murphy SA.
Behavior change versus stability during the college-to-work transition: Life course and the “stickiness” of alcohol misuse at career entry
Personnel Psychology
Liu S, Bamberger P, Wang M, Nahum-Shani I, Larimer M, Bacharach S.
Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning
ArXiv Preprint
Rathnam S, Murphy SA, Doshi-Velez F.
Cost and Effort Considerations for the Development of Intervention Studies Using Mobile Health Platforms: Pragmatic Case Study
JMIR Formative Research
Thorpe D, Fouyaxis J, Lipschitz JM, Nielson A, Li W, Murphy SA, Bidargaddi N
Counterfactual inference for sequential experimental design
ArXiv Preprint
Dwivedi R, Tian K, Tomkins S, Klasnja P, Murphy S, Shah D.
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines
Algorithms
Trella AL, Zhang KW, Nahum-Shani I, Shetty V, Doshi-Velez F, Murphy SA.
Developing an Adaptive Mobile Intervention to Address Risky Substance Use Among Adolescents and Emerging Adults: Usability Study
JMIR mHealth and uHealth
Coughlin LN, Nahum-Shani I, Philyaw-Kotov ML, Bonar EE, Rabbi M, Klasnja P, Murphy S, Walton MA.
Digital Prompts to Increase Engagement With the Headspace App and for Stress Regulation Among Parents: Feasibility Study
JMIR Formative Research
Militello L, Sobolev M, Okeke F, Adler DA, Nahum-Shani I.
Dynamic models of stress-smoking responses based on high-frequency sensor data
npj Digital Medicine
Hojjatinia S, Daly ER, Hnat T, Hossain SM, Kumar S, Lagoa CM, Nahum-Shani I, Samiei SA, Spring B, Conroy DE.
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial
NPJ Digital Medicine
Wang J, Fang Y, Frank E, Walton MA, Burmeister M, Tewari A, Dempsey W, NeCamp T, Sen S, Wu Z.
End User Participation in the Development of an Ecological Momentary Intervention to Improve Coping With Cannabis Cravings: Formative Study
JMIR Formative Research
Anderson MA, Budney AJ, Jacobson NC, Nahum-Shani I, Stanger C.
Engagement in digital interventions
The American Psychologist
Nahum-Shani I, Shaw SD, Carpenter SM, Murphy SA, Yoon C.
Estimating causal effects with optimization-based methods: A review and empirical comparison
European Journal of Operational Research
Cousineau M, Verter V, Murphy SA, Pineau J.
Estimating time-varying causal excursion effect in mobile health with binary outcomes
Biometrika
Qian T, Yoo H, Klasnja P, Almirall D, Murphy SA.
Expanding access to medications for opioid use disorder in primary care clinics: an evaluation of common implementation strategies and outcomes
Implementation Science Communications
Cheng H, McGovern MP, Garneau HC, Hurley B, Fisher T, Copeland M, Almirall D.
Hierarchical network models for exchangeable structured interaction processes
Journal of the American Statistical Association
Dempsey W, Oselio B, Hero A.
Hybrid Experimental Designs for Intervention Development: What, Why, and How
Advances in Methods and Practices in Psychological Science
Nahum-Shani I, Dziak JJ, Walton MA, Dempsey W.
Increased Attention Regulation from Emotion Regulation Therapy for Generalized Anxiety Disorder
Cognitive Therapy and Research
Renna ME, Seeley SH, Heimberg RG, Etkin A, Fresco DM, Mennin DS.
Innovative Health Care Delivery: The Scientific and Regulatory Challenges in Designing mHealth Interventions
National Academy of Medicine Perspectives
Saghafian S, Murphy SA.
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
Prevention Science
Potter LN, Yap J, Dempsey W, Wetter DW, Nahum-Shani I.
IntelligentPooling: practical Thompson sampling for mHealth
Machine Learning
Tomkins S, Liao P, Klasnja P, Murphy SA
itMatters: Optimization of an online intervention to prevent sexually transmitted infections in college students
Journal of American College Health
Wyrick DL, Tanner AE, Milroy JJ, Guastaferro K, Bhandari S, Kugler KC, Thorpe S, Ware S, Miller AM, Collins LM.
Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support
Annals of Behavioral Medicine
Inbal Nahum-Shani, Shawna N Smith, Bonnie Spring, Katie Witkiewitz, Linda M Collins, Ambuj Tewari, S Murphy
Just-in-Time Adaptive Interventions for Suicide Prevention: Promise, Challenges, and Future Directions
Psychiatry
Coppersmith DDL, Dempsey W, Kleiman EM, Bentley KH, Murphy SA, Nock MK.
Main outcomes of M-bridge: A sequential multiple assignment randomized trial (SMART) for developing an adaptive preventive intervention for college drinking
Journal of Consulting and Clinical Psychology
Patrick ME, Lyden GR, Morrell N, Mehus CJ, Gunlicks-Stoessel M, Lee CM, King CA, Bonar EE, Nahum-Shani I, Almirall D, Larimer ME, Vock DM.
MCMTC: A Pragmatic Framework for Selecting an Experimental Design to Inform the Development of Digital Interventions
Frontiers in Digital Health
Nahum-Shani I, Dziak JJ, Wetter DW.
mRisk: Continuous Risk Estimation for Smoking Lapse from Noisy Sensor Data with Incomplete and Positive-Only Labels
Proceedings of the ACM on interactive, mobile, wearable, and ubiquitous technologies
Ullah MA, Chatterjee S, Fagundes CP, Lam C, Nahum-Shani I, Rehg JM, Wetter DW, Kumar S.
Multitiered Systems of Support, Adaptive Interventions, and SMART Designs
Exceptional Children
Roberts G, Clemens N, Doabler CT, Vaughn S, Almirall D, Nahum-Shani I.
New Directions for Motivational Incentive Interventions for Smoking Cessation
Frontiers in Digital Health
Coughlin LN, Bonar EE, Walton MA, Fernandez AC, Duguid I, Nahum-Shani I.
Obesity prevention practices in early care and education settings: an adaptive implementation trial
Implementation Science
Swindle T, Rutledge JM, Selig JP, Painter J, Zhang D, Martin J, Johnson SL, Whiteside-Mansell L, Almirall D, Barnett-McElwee T, Curran GM.
Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health
Journal of the American Statistical Association
Liao P, Klasnja P, Murphy S.
Online structural kernel selection for mobile health
ArXiv Preprint
Shin E, Klasnja P, Murphy S, Doshi-Velez F.
Predicting short-term suicidal thoughts in adolescents using machine learning: developing decision tools to identify daily level risk after hospitalization
Psychological Medicine
Czyz EK, Koo HJ, Al-Dajani N, King CA, Nahum-Shani I.
Primary aim results of a clustered SMART for developing a school-level, adaptive implementation strategy to support CBT delivery at high schools in Michigan
Implementation Science Communications
Smith SN, Almirall D, Choi SY, Koschmann E, Rusch A, Bilek E, Lane A, Abelson JL, Eisenberg D, Himle JA, Fitzgerald KD, Liebrecht C, Kilbourne AM.
Rejoinder: ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’
Biometrika
Qian T, Yoo H, Klasnja P, Almirall D, Murphy SA.
Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care
Proceedings of the 37th AAAI Conference on Artificial Intelligence
Trella AL, Zhang KW, Nahum-Shani I, Shetty V, Doshi-Velez F, Murphy SA.
Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome
Statistical Methods in Medical Research
Seewald NJ, Kidwell KM, Nahum-Shani I, Wu T, McKay JR, Almirall D.
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.
Upcoming Events
Hybrid Experimental Designs for Developing Mobile Interventions
July 6, 2023
Leibniz Institute for Research and Information in Education
Learn MoreOptimization of Adaptive Interventions
July 15, 2023, 10:45 - 12:00 p.m.
NIH Summer Institute on Randomized Behavioral Clinical Trials
Learn MoreLeveraging digital technology to improve employee health and well-being: New intervention and experimental approaches
August 15, 2023
Disney Data and Analytics Conference
Learn MoreAdvances in Adaptive Interventions to Improve Outcomes for Individuals with SUD and HIV
October 3, 2023
UCSF, Center for AIDS Prevention Studies
Learn MoreOptimizing the Adaptation and Personalization of SUD Services
October 18, 2023, 1:00 - 2:30 p.m.
Addiction Health Services Research Conference 2023
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