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Daniel Almirall

Research Affiliate, Population Studies Center.

Research Assistant Professor, Survey Research Center, Institute for Social Research.

Ph.D., University of Michigan

Dr. Almirall's current methodological research interests lie in the broad area of causal inference. He is particularly interested in methods for causal inference using longitudinal data sets in which treatments, covariates, and outcomes are all time-varying. He is also interested in developing statistical methods that can be used to form adaptive interventions, sometimes known as dynamic treatment regimes.

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Journal Articles

Kidwell, Kelley M., Nicholas J. Seewald, Qui Tran, Connie Kasari, and Daniel Almirall. Forthcoming. "Design and analysis considerations for comparing dynamic treatment regimens with binary outcomes from sequential multiple assignment randomized trials." Journal of Applied Statistics. DOI. Abstract.

Joseph, Anne M., Daniel Almirall, Alexander J. Rothman, Abbie Begnaud, Caroline Chiles, Paul M. Cinciripini, Steven S. Fu, Amanda L. Graham, Bruce R. Lindgren, Anne C. Melzer, Jamie S. Ostroff, Elizabeth L. Seaman, Kathryn L. Taylor, Benjamin A. Toll, Steven B. Zeliadt, and David M. Vock. Forthcoming. "Lung Cancer Screening and Smoking Cessation Clinical Trials: SCALE Collaboration." American Journal of Respiratory and Critical Care Medicine. DOI. Abstract.

Boruvka, Audrey, Daniel Almirall, Katie Witkiewitz, and Susan A. Murphy. Forthcoming. "Assessing Time-Varying Causal Effect Moderation in Mobile Health." Journal of the American Statistical Association. DOI. Abstract.

Setodji, Claude M., Daniel F. McCaffrey, Lane F. Burgette, Daniel Almirall, and Beth Ann Griffin. 2017. "The right tool for the job: choosing between covariate balancing and generalized boosted model propensity scores." Epidemiology, 28(6): 802-811. DOI. Abstract.

Wodtke, Geoffrey, and Daniel Almirall. 2017. "Estimating Moderated Causal Effects with Time-Varying Treatments and Time-Varying Moderators: Structural Nested Mean Models and Regression with Residuals." Sociological Methodology, 47(1): 212-245. DOI. Abstract.

Nahum-Shani, Inbal, Ashkan Ertefaie, Xi Lu, Kevin G. Lynch, James R. McKay, David Oslin, and Daniel Almirall. 2017. "A SMART Data Analysis Method for Constructing Adaptive Treatment Strategies for Substance Use Disorders." Addiction, 112(3): 901-909. DOI. Abstract.

Kilbourne, A.M., Daniel Almirall, M.M. Barbaresso, Z. Lai, K.M. Nord, M. Bramlet, D.E. Goodrich, E.P. Post, and M.S. Bauer. 2017. "Improving Physical Health in Patients With Chronic Mental Disorders: Twelve-Month Results From a Randomized Controlled Collaborative Care Trial." The Journal of clinical psychiatry, 78(1): 129-137. DOI. Abstract.

View additional select publications of Daniel Almirall