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Hybrid Experimental Designs for Intervention Development: What, Why, and How

Advances in Methods and Practices in Psychological Science

Adaptive School-based Implementation of CBT (ASIC): clustered-SMART for building an optimized adaptive implementation intervention…

Implementation Science

Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines

Algorithms

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.

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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.