Research Assistant Professor, Institute for Social Research, University of Michigan
Investigator, The Methodology Center
Survey Research Center
Institute for Social Research
University of Michigan
426 Thompson Street, Suite 2204
Ann Arbor, MI 48104-2321
Ph.D., University of Michigan, 2007 (Statistics)
M.A., University of Michigan, 2002 (Statistics)
B.S., University of Florida, 2000 (Mathematics)
Current Projects and Collaborators
I work in two related areas. First, I am interested in extending and applying methods for causal inference using longitudinal data sets in which treatments, covariates, and outcomes are time-varying. My collaborators on these projects include Susan Murphy, Bethany Bray, and Donna Coffman. Second, I am interested in the application of study designs, in particular sequential, multiple assignment, randomized trials (SMARTs), and the development of statistical methods that can be used to form adaptive interventions. In this area, I work with Susan Murphy and Inbal Nahum-Shani.
Dynamic Participation in the Supplemental Nutrition Assistance Program and Its Impact on Child Over-Weight
United States Department of Agriculture, Cooperative Agreement 58-4000-0-0026
2010-present; Role: Principal Investigator
SMART Methodology for Constructing Adaptive Treatments
National Institute on Drug Abuse, P50-DA10075
2010-present; Role: Co-Investigator (PI: Susan Murphy)
Causal inference: I am interested in extending and applying methods for causal inference using longitudinal data sets in with which time-varying treatments, covariates, and outcomes are time-varying.
Study design interests: I am also interested in the application of study designs, in particularly sequential, multiple assignment, randomized trials (SMARTs), and the development of statistical methods that can be used to form and evaluate adaptive interventions, sometimes known as adaptive treatment strategies or dynamic treatment regimens.
Substantive interests: As part of the Institute for Social Research, I participate in a wide variety of social science and treatment/intervention research. I am particularly interested in mental health (depression, sleep disorders), obesity, and substance abuse, especially as related to children and adolescents. If you are a clinical or behavioral health scientist in the early stages of research and study design who is interested in collaborating to design a SMART, please send me an email.
Key words: causal inference, propensity score methods, marginal and structural nested mean models, methods for longitudinal data analysis, health services research, mental health, substance abuse, obesity, dynamic treatment regimens, adaptive treatment strategies, sequential multiple assignment randomized trials
Almirall, D., Griffin, B. A., McCaffrey, D. F., Ramchand, R., Yuen, R. A., & Murphy, S. (2014). Time-varying effect moderation using the structural nested mean model: Estimation using inverse-weighted regression with residuals. Statistics in Medicine, 33(20), 3466-3487.
Almirall, D., Nahum-Shani, I., Sherwood, N. E., & Murphy, S. A. (2014). Introduction to SMART designs for the development of adaptive Interventions: With application to weight loss research. Translational Behavioral Medicine, 4(3), 260-274.
Collins, L. M., Nahum-Shani, I., & Almirall, D. (2014). Optimization of behavioral dynamic treatment regimens based on the sequential, multiple assignment, randomized trial (SMART). Clinical Trials, 11, 426-434.
Compton, S. N., Peris, T. S., Almirall, D., Birmaher, B., Sherill, J., Kendall, P. C., et al. (2014). Predictors and moderators of treatment response in childhood anxiety disorders: Results from the CAMS trial. Journal of Consulting and Clinical Psychology, 82(2), 212-224.
Griffin, B. A., Ramchand, R., Almirall, D., Slaughter, M. E., Burgette, L. F., & McCaffery, D. F. (2014).Estimating the causal effects of cumulative treatment episodes for adolescents using marginal structural models and inverse probability of treatment weighting. Drug and Alcohol Dependence, 136, 69-78.
Kilbourne, A. M., Almirall, D., Eisenberg, D., Waxmonsky, J., Goodrich, D. E., Fortney, J. C., et al. (2014). 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. Implementation Science, 9, 132.
Lu, X., Kasari, C., Murphy, S. A., & Almirall, D. (2014). Repeated measures analysis of sequential, multiple assignment, randomized trials (Technical Report No. 14-125). University Park, PA: The Methodology Center, Penn State.
Ramchand, R., Griffin, B. Ann, Slaughter, M. Ellen, Almirall, D., & McCaffrey, D. F. (2014). Do improvements in substance use and mental health symptoms during treatment translate to long-term outcomes in the opposite domain? Journal of Substance Abuse Treatment, 47(5), 339-46.
Schuler, M. S., Griffin, B. Ann, Ramchand, R., Almirall, D., & McCaffrey, D. F. (2014). Effectiveness of treatment for adolescent substance use: Is biological drug testing sufficient? Journal of Studies on Alcohol and Drugs, 75(2), 358-70.
Almirall, D., McCaffrey, D. F., Ramchand, R., & Murphy, S. (2013). Subgroups analysis when treatment and moderators are time-varying. Prevention Science, 14(2), 169-78.
Almirall, D., Nahum-Shani, I., Sherwood, N. E., & Murphy, S. (2013). Introduction to SMART designs for the development of adaptive interventions: With application to weight loss research (Technical Report No. 13-122). University Park, PA: The Methodology Center, The Pennsylvania State University.
McCaffrey, D. F., Griffin, B. A., Almirall, D., Slaughter, M. E., Ramchand, R., & Burgette, L. F. (2013). A tutorial on propensity score estimation for multiple treatments using generalized boosted models. Statistics in Medicine, 32(19), 3388-414.
Yancy, W. S., Coffman, C. J., Geiselman, P. J., Kolotkin, R. L., Almirall, D., Oddone, E. Z., et al. (2013). Considering patient diet preference to optimize weight loss: Design considerations of a randomized trial investigating the impact of choice. Contemporary Clinical Trials, 35(1), 106-16.