Daniel Almirall, Ph.D.

Recent Publications

Smith, S. S., Almirall, D., Prenovost, K., Goodrich, D. E., Abraham, K. M., Liebrecht, C., & Kilbourne, A. M. (in press). To prompt or not to prompt? A micro-randomized trial of time-varying push notifications to increase proximal engagement with a mobile health application. Journal Of Medical Internet Research.
Smith, S. S., Almirall, D., Prenovost, K., Goodrich, D. E., Abraham, K. M., Liebrecht, C., & Kilbourne, A. M. (in press). Organizational culture and climate as moderators of enhanced outreach for persons with serious mental illness: Results from a cluster-randomized trial of adaptive implementation strategies. Implementation Science.
Tao, Y., Wang, L., & Almirall, D. (in press). Tree-based reinforcement learning for estimating optimal dynamic treatment regimes. Annals Of Applied Statistics.
Wodtke, G. T., & Almirall, D. (in press). Assessing causal effect heterogeneity with time-varying treatments and time-varying effect moderators: Structural nested mean models and regression-with-residuals estimation. Sociological Methodology.
Joseph, A. M., Rothman, A. J., Almirall, D., Begnaud, A., Chiles, C., Cinciripini, P. M., et al. (2018). Lung Cancer Screening and Smoking Cessation Clinical Trials. SCALE (Smoking Cessation within the Context of Lung Cancer Screening) Collaboration. American Journal Of Respiratory And Critical Care Medicine, 197(2), 172 - 182. http://doi.org/10.1164/rccm.201705-0909CI
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
Fu, S. S., Rothman, A. J., Vock, D. M., Lindgren, B., Almirall, D., Begnaud, A., et al. (2017). Program for lung cancer screening and tobacco cessation: Study protocol of a sequential, multiple assignment, randomized trial. Contemporary Clinical Trials, 60, 86 - 95. http://doi.org/10.1016/j.cct.2017.07.002
Kidwell, K. M., Seewald, N. J., Tran, Q., Kasari, C., & Almirall, D. (2017). Design and analysis considerations for comparing dynamic treatment regimens with binary outcomes from sequential multiple assignment randomized trials. Journal Of Applied Statistics. http://doi.org/10.1080/02664763.2017.1386773
Grant, S., Agniel, D., Almirall, D., Burkhart, Q., Hunter, S. B., McCaffrey, D. F., et al. (2017). Developing adaptive interventions for adolescent substance use treatment settings: Protocol of an observational, mixed-methods project. Addiction Science & Clinical Practice, 12(35). http://doi.org/10.1186/s13722-017-0099-4
NeCamp, T., Kilbourne, A., & Almirall, D. (2017). Comparing cluster-level dynamic treatment regimens using sequential, multiple assignment, randomized trials: Regression estimation and sample size considerations. Statistical Methods In Medical Research, 26(4), 1572-1589. http://doi.org/10.1177/0962280217708654
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
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
Griffin, B. Ann, McCaffrey, D. F., Almirall, D., Burgette, L. F., & Setodji, C. Messan. (2017). Chasing balance and other recommendations for improving nonparametric propensity score models. Journal Of Causal Inference, 5(2). http://doi.org/10.1515/jci-2015-0026
Setodji, C. M., McCaffrey, D. F., Burgette, L. F., Almirall, D., & Griffin, B. A. (2017). The right tool for the job: Choosing between covariate balancing and generalized boosted model propensity scores. Epidemiology, 28(6), 802-811. http://doi.org/10.1097/EDE.0000000000000734
Sherwood, N. E., Butryn, M. L., Forman, E. M., Almirall, D., Seburg, E. M., A Crain, L., et al. (2016). The BestFIT trial: A SMART approach to developing individualized weight loss treatments. Contemp Clin Trials, 47, 209-16. http://doi.org/10.1016/j.cct.2016.01.011