Murphy, Susan A.

Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support

Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (2018) · Annals of Behavioral Medicine

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 2,171

The prevention and treatment of missing data in clinical trials

Little, R. J., D'Agostino, R., Cohen, M. L., Dickersin, K., Emerson, S. S., Farrar, J. T., Frangakis, C., Hogan, J. W., Molenberghs, G., Murphy, S. A., et al. (2012) · New England Journal of Medicine

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 1,884

The Multiphase Optimization Strategy (MOST) and the Sequential Multiple Assignment Randomized Trial (SMART)

Collins, L. M., Murphy, S. A., & Strecher, V. (2007) · American Journal of Preventive Medicine

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 1,082

Mobile Health Technology Evaluation

Kumar, S., Nilsen, W. J., Abernethy, A., Atienza, A., Patrick, K., Pavel, M., Riley, W. T., Shar, A., Spring, B., Spruijt-Metz, D., et al. (2013) · American Journal of Preventive Medicine

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 900

An experimental design for the development of adaptive treatment strategies

Murphy, S. A. (2005) · Statistics in Medicine

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 746

On profile likelihood

Murphy, S. A., & Van Der Vaart, A. W. (2000) · Journal of the American Statistical Association

Statistical Methods and InferenceProbability and Statistical Research

Cited by 712

Microrandomized trials: An experimental design for developing just-in-time adaptive interventions.

Klasnja, P., Hekler, E. B., Shiffman, S., Boruvka, A., Almirall, D., Tewari, A., & Murphy, S. A. (2015) · Health Psychology

Advanced Causal Inference TechniquesMobile Health and mHealth Applications

Cited by 671

A Conceptual Framework for Adaptive Preventive Interventions

Collins, L. M., Murphy, S. A., & Bierman, K. L. (2004) · Prevention Science

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 608

A "SMART" Design for Building Individualized Treatment Sequences

Lei, H., Nahum-Shani, I., Lynch, K., Oslin, D., & Murphy, S. A. (2012) · Annual Review of Clinical Psychology

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 557

A strategy for optimizing and evaluating behavioral interventions

Collins, L. M., Murphy, S. A., Nair, V. N., & Strecher, V. J. (2005) · Annals of Behavioral Medicine

Health Policy Implementation ScienceSmoking Behavior and Cessation

Cited by 492

Introduction to SMART designs for the development of adaptive interventions: with application to weight loss research

Almirall, D., Nahum-Shani, I., Sherwood, N. E., & Murphy, S. A. (2014) · Translational Behavioral Medicine

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 453

Communication Interventions for Minimally Verbal Children With Autism: A Sequential Multiple Assignment Randomized Trial

Kasari, C., Kaiser, A., Goods, K., Nietfeld, J., Mathy, P., Landa, R., Murphy, S., & Almirall, D. (2014) · Journal of the American Academy of Child & Adolescent Psychiatry

Autism Spectrum Disorder ResearchAssistive Technology in Communication and Mobility

Cited by 415

Marginal Mean Models for Dynamic Regimes

Murphy, S. A., van der Laan, M. J., Robins, J. M., & Conduct Problems Prevention Research Group (2001) · Journal of the American Statistical Association

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 393

Experimental design and primary data analysis methods for comparing adaptive interventions.

Nahum-Shani, I., Qian, M., Almirall, D., Pelham, W. E., Gnagy, B., Fabiano, G. A., Waxmonsky, J. G., Yu, J., & Murphy, S. A. (2012) · Psychological Methods

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 298

Treatment Sequencing for Childhood ADHD: A Multiple-Randomization Study of Adaptive Medication and Behavioral Interventions

Pelham, W. E., Fabiano, G. A., Waxmonsky, J. G., Greiner, A. R., Gnagy, E. M., Pelham, W. E., Coxe, S., Verley, J., Bhatia, I., Hart, K., et al. (2016) · Journal of Clinical Child & Adolescent Psychology

Attention Deficit Hyperactivity DisorderBehavioral and Psychological Studies

Cited by 251

Efficacy of Contextually Tailored Suggestions for Physical Activity: A Micro-randomized Optimization Trial of HeartSteps

Klasnja, P., Smith, S., Seewald, N. J., Lee, A., Hall, K., Luers, B., Hekler, E. B., & Murphy, S. A. (2019) · Annals of Behavioral Medicine

Mobile Health and mHealth ApplicationsPhysical Activity and Health

Cited by 241

Designing a pilot sequential multiple assignment randomized trial for developing an adaptive treatment strategy

Almirall, D., Compton, S. N., Gunlicks‐Stoessel, M., Duan, N., & Murphy, S. A. (2012) · Statistics in Medicine

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 223

Developing adaptive treatment strategies in substance abuse research

Murphy, S. A., Lynch, K. G., Oslin, D., McKay, J. R., & TenHave, T. (2007) · Drug and Alcohol Dependence

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 211

To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App

Bidargaddi, N., Almirall, D., Murphy, S., Nahum-Shani, I., Kovalcik, M., Pituch, T., Maaieh, H., & Strecher, V. (2018) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 189

Engagement in digital interventions.

Nahum-Shani, I., Shaw, S. D., Carpenter, S. M., Murphy, S. A., & Yoon, C. (2022) · American Psychologist

Digital Mental Health InterventionsDigital Media and Philosophy

Cited by 177

Q-learning: A data analysis method for constructing adaptive interventions.

Nahum-Shani, I., Qian, M., Almirall, D., Pelham, W. E., Gnagy, B., Fabiano, G. A., Waxmonsky, J. G., Yu, J., & Murphy, S. A. (2012) · Psychological Methods

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 174

Assessing time-varying causal effect moderation in mobile health

Boruvka, A., Almirall, D., Witkiewitz, K., & Murphy, S. A. (2018) · Journal of the American Statistical Association

Advanced Causal Inference TechniquesMobile Health and mHealth Applications

Cited by 152

Protocol: Adaptive Implementation of Effective Programs Trial (ADEPT): cluster randomized SMART trial comparing a standard versus enhanced implementation strategy to improve outcomes of a mood disorders program

Kilbourne, A. M., Almirall, D., Eisenberg, D., Waxmonsky, J., Goodrich, D. E., Fortney, J. C., Kirchner, J. E., Solberg, L. I., Main, D., Bauer, M. S., et al. (2014) · Implementation Science

Health Policy Implementation SciencePsychiatric care and mental health services

Cited by 130

Developing multicomponent interventions using fractional factorial designs

Chakraborty, B., Collins, L. M., Strecher, V. J., & Murphy, S. A. (2009) · Statistics in Medicine

Optimal Experimental Design MethodsStatistical Methods in Clinical Trials

Cited by 107