Inbal Nahum-Shani, Ph.D.

Recent Publications

Walton, A., Nahum-Shani, I., Crosby, L., Klasnja, P., & Murphy, S. (2018). Optimizing Digital Integrated Care via Micro-Randomized Trials. Clin Pharmacol Ther, 104(1), 53-58. http://doi.org/10.1002/cpt.1079
Rabbi, M., Kotov, M. Philyaw, Cunningham, R., Bonar, E. E., Nahum-Shani, I., Klasnja, P., et al. (2018). Toward Increasing Engagement in Substance Use Data Collection: Development of the Substance Abuse Research Assistant App and Protocol for a Microrandomized Trial Using Adolescents and Emerging Adults. Jmir Res Protoc, 7(7), e166. http://doi.org/10.2196/resprot.9850
Almirall, D., Kasari, C., McCaffrey, D. F., & Nahum-Shani, I. (2018). Developing optimized adaptive interventions in education. Journal Of Research On Educational Effectiveness, 11(1), 27-34. http://doi.org/10.1080/19345747.2017.1407136
Bamberger, P. A., Koopmann, J., Wang, M., Larimer, M., Nahum-Shani, I., Geisner, I., & Bacharach, S. B. (2018). Does college alcohol consumption impact employment upon graduation? Findings from a prospective study. Journal Of Applied Psychology, 103(1), 111-121. http://doi.org/10.1037/apl0000244
Geisner, I. M., Koopmann, J., Bamberger, P., Wang, M., Larimer, M. E., Nahum-Shani, I., & Bacharach, S. (2018). When the party continues: Impulsivity and the effect of employment on young adults' post-college alcohol use. Addictive Behaviors, 77, 114-120. http://doi.org/10.1016/j.addbeh.2017.09.014
Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (2018). Just–in-time adaptive interventions (JITAIs) in mobile health: Key components and design principles for ongoing health behavior support. Annals Of Behavioral Medicine, 52, 446-452. http://doi.org/10.1007/s12160-016-9830-8
Rabbi, M., Philyaw-Kotov, M., Lee, J., Mansour, A., Dent, L., Wang, X., et al. (2017). SARA: A mobile app to engage users in health data collection. Proceedings Of The 2017 Acm International Joint Conference On Pervasive And Ubiquitous Computing, 781-789. http://doi.org/10.1145/3123024.3125611
Wagner, B., Liu, E., Shaw, S. D., Iakovlev, G., Zhou, L., Harrington, C., et al. (2017). ewrapper: Operationalizing engagement strategies in mHealth. Proceedings Of The 2017 Acm International Joint Conference On Pervasive And Ubiquitous Computing, 2017, 790-798. http://doi.org/10.1145/3123024.3125612
Wagner, B., Murphy, S., Spring, B., Nahum-Shani, I., Liu, E., Shaw, S. D., et al. (2017). e- wrapper: Operationalizing engagement strategies in mHealth. (S. "Claire" Lee, Takayama, L., & Truong, K.), Proceedings of the 2017 ACM International Symposium on Wearable Computers - UbiComp '17. Maui, HawaiiNew York, New York, USA: ACM Press. http://doi.org/10.1145/312302410.1145/3123024.3125612
Sarker, H., Hovsepian, K., Chatterjee, S., Nahum-Shani, I., Murphy, S. A., Spring, B., et al. (2017). From Markers to Interventions: The Case of Just-in-Time Stress Intervention. In Mobile Health Sensors, Analytic Methods, and Applications. Springer.
Nahum-Shani, I., Ertefaie, A., Lu, X. Lucy, Lynch, K. G., McKay, J. R., Oslin, D. W., & Almirall, D. (2017). A SMART data analysis method for constructing adaptive treatment strategies for substance use disorders. Addiction, 112, 901-909. http://doi.org/10.1111/add.13743
Nahum-Shani, I., Dziak, J. J., & Collins, L. M. (2017). Multi-level factorial designs with experimentation-induced clustering. Psychological Methods. http://doi.org/10.1037/met0000128
Sarker, H., Tyburski, M., Rahman, M. M., Hovsepian, K., Sharmin, M., Epstein, D. H., et al. (2016). Finding significant stress episodes in a discontinuous time series of rapidly varying mobile sensor data. 2016 CHI Conference on Human Factors in Computing Systems. Santa Clara, CA.
Pelham, W. E., Fabiano, G. A., Waxmonsky, J. G., Greiner, A. R., Gnagy, E. M., Pelham, W. E., et al. (2016). Treatment Sequencing for Childhood ADHD: A Multiple-Randomization Study of Adaptive Medication and Behavioral Interventions. J Clin Child Adolesc Psychol, 45(4), 396-415. http://doi.org/10.1080/15374416.2015.1105138
Sarker, H., Tyburski, M., Rahman, M. M., Hovsepian, K., Sharmin, M., Epstein, D. H., et al. (2016). Finding significant stress episodes in a discontinuous time series of rapidly varying mobile sensor data. Proceedings of the CHI Conference on Human Factors in Computing Systems. Santa Clara, CA.