Daniel Almirall, Ph.D. | The Methodology Center

Daniel Almirall, Ph.D.

Daniel Almirall, Ph.D.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)



Research Interests & Collaborations

I work in two related areas. First, 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.


I am interested in extending and applying methods for causal inference using longitudinal data sets in which treatments, covariates, and outcomes are time-varying. This includes methods for the analysis of intensive longitudinal data in mHealth. My collaborators on these projects include Susan MurphyBethany Bray, and Donna Coffman.


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.

Recent Grants

Adaptive Interventions for Minimally Verbal Children With ASD in the Community

Eunice Kennedy Shriver National Institute for Child Health and Human Development, R01 HD073975

2012-present; Role: Site PI (PI: Connie Kasari)


SMART Methodology for Constructing Adaptive Treatments

National Institute on Drug Abuse, P50 DA10075

2010-present; Role: Co-Investigator (PI: Susan Murphy)


Discovering Tailoring Variables in Childhood Mental Health Treatment Research

National Institute of Mental Health, R03 MH097954

2012-2014; Role: PI


Improving Mental Health Outcomes: Building an Adaptive Implementation Strategy

National Institute of Mental Health, R01 MH099898

2014-2018; Role: Investigator (PI: Amy Kilbourne)


Improving TWANG as a Research Tool for Addiction Researchers

National Institute on Drug Abuse, R01 DA034065

2013-2016; Role: Subaward PI (PI: Beth Ann Griffin)


Recent Publications

Gunlicks-Stoessel, M., Mufson, L., Westervelt, A., Almirall, D., & Murphy, S.A. (in press). A Pilot SMART for Developing an Adaptive Treatment Strategy for Adolescent Depression. Journal of Clinical Child and Adolescent Psychology.

Kilbourne, A.M., Goodrich, D.E., Lai, Z., Almirall, D., Nord, K.M., Bowersox, N.W., & Abraham, K.M. (2015).Reengaging veterans with serious mental illness into care: Preliminary results from a national randomized trial. Psychiatric Services, 66(1), 90-3.

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.

Kasari, C., Kaiser, A., Goods, K., Nietfeld, J., Mathy, P., Landa, R., Murphy, S. A., & Almirall, D. (2014). Communication interventions for minimally verbal children with autism: A sequential multiple assignment randomized trial. Journal of the American Academy of Child and Adolescent Psychiatry, 53(6), 635-46.

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.

Like Us On Facebook or Tweet This Page