Susan Murphy, Ph.D.

Select Recent Publications

Luers, B., Klasnja, P., & Murphy, S. (2018). Standardized effect sizes for preventive mobile health interventions in micro-randomized trials. Prevention Science. http://doi.org/10.1007/s11121-017-0862-5
Rehg, J. M., Murphy, S. A., & Kumar, S. (2017). Mobile health: Sensors, analytic methods, and applications. New York, NY: Springer.
Greenewald, K., Tewari, A., Klasnja, P., & Murphy, S. A. (2017). Action centered contextual bandits. 31st Conference on Neural Information Processing Systems (NIPS 2017). Long Beach, CA.
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
Kelleher, S. A., Dorfman, C. S., Vilardaga, J. C. Plumb, Majestic, C., Winger, J., Gandhi, V., et al. (2017). Optimizing delivery of a behavioral pain intervention in cancer patients using a sequential multiple assignment randomized trial SMART. Contemporary Clinical Trials, 57, 51-57. http://doi.org/10.1016/j.cct.2017.04.001
Rehg, J. M., Murphy, S. A., & Kumar, S. (2017). Mobile health: Sensors, analytic methods, and applications . Cham, Switzerland: Springer International.
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
Tewari, A., & Murphy, S. A. (2017). From Ads to Interventions: Contextual Bandits in Mobile Health. In Mobile Health Sensors, Analytic Methods, and Applications. Springer.
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.
Smith, S. S., Lee, A. J., Hall, K., Seewald, N. J., Boruvka, A., Murphy, S. A., & Klasnja, P. (2017). Design Lessons from a Micro-Randomized Pilot Study in Mobile Health. In Mobile Health Sensors, Analytic Methods, and Applications. Springer.
Dempsey, W., Moreno, A., Scott, C. K., Dennis, M. L., Gustafson, D. H., Murphy, S. A., & Rehg, J. M. (2017). iSurvive: An Interpretable, Event-time Prediction Model for mHealth. International Conference of Machine Learning. Sydney, Australia: PMLR 70.
Boruvka, A., Almirall, D., Witkiewitz, K., & Murphy, S. A. (2017). Assessing time-varying causal effect moderation in mobile health. Journal Of The American Statistical Association, 5(4). http://doi.org/10.1080/01621459.2017.1305274
Bekiroglu, K., Lagoa, C., Murphy, S. A., & Lanza, S. T. (2017). Control Engineering Methods for the Design of Robust Behavioral Treatments. IEEE Transactions on Control Systems Technology. http://doi.org/10.1109/TCST.2016.2580661
Lu, X., Lynch, K. G., Oslin, D. W., & Murphy, S. (2016). Comparing treatment policies with assistance from the structural nested mean model. Biometrics, 722016314858652496,17176462772390,6381,697,656093100(1), 10 - 19. http://doi.org/10.1111/biom.v72.110.1111/biom.12391