daniel almirall

Daniel Almirall

Assistant Professor, Survey Research Center
Faculty Associate, Population Studies Center
Institute for Social Research
University of Michigan

dalmiral [arroba] umich [punto] edu
(734) 936 3077
Upcoming and Past Presentations
Mailing Address

Upcoming Workshops on Adaptive Interventions/SMART
Past Workshops (with slides)
Example SMART Designs
Statistical Reinforcement Learning Lab
The Methodology Center, Penn State University

Colleagues: Billie Nahum-Shani, Susan A. Murphy [Photo]

Research Interests

Methodological Interests: My current methodological research interests lie in the broad area of causal inference. I am particularly interested in methods for causal inference using longitudinal data sets in which treatments, covariates, and outcomes are all time-varying. I am also interested in developing statistical methods that can be used to form adaptive interventions, sometimes known as dynamic treatment regimes. An adaptive intervention is a sequence of individually tailored decisions rules that specify whether, how, and when to alter the intensity, type, or delivery of treatment at critical decision points in the medical care process. Adaptive interventions are particularly well-suited for the management of chronic diseases, but can be used in any clinical setting in which sequential medical decision making is essential for the welfare of the patient. They hold the promise of enhancing clinical practice by flexibly tailoring treatments to patients when they need it most, and in the most appropriate dose, thereby improving the efficacy and effectiveness of treatment.

Study Design Interests: In addition to developing new statistical methodologies, I devote a portion of my research to the design of sequential multiple assignment randomized trials (SMARTs). SMARTs are randomized trial designs that give rise to high-quality data that can be used to develop and optimize adaptive interventions.

Substantive Interests: As an investigator and methodologist in the Institute for Social Research, I take part in research in a wide variety of areas of social science and treatment (or interventions) research. I am particularly interested in the substantive areas of mental health (depression, anxiety) and substance abuse, especially as related to children and adolescents.

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 regimes, adaptive treatment strategies, sequential multiple assignment randomized trials, adaptive implementation interventions

Upcoming Presentations

This includes talks or workshops on Adaptive Intervention Designs or SMART Research Designs:

Publications (Articles, Chapters, Work in Progress)

Journal Articles



Book Chapters and Other Publications

Work in Progress

Past Presentations (Talks, Posters, Workshops)


I stopped listing talks here. Instead, see this page which is more up to date.







Mailing Address

Daniel Almirall, PhD
2460 Institute for Social Research
426 Thompson Street
University of Michigan
Ann Arbor, Michigan 48104-2321


L to R: Inbal "Billie" Nahum-Shani, Daniel Almirall, Susan A. Murphy in the Fall 2015

Statistical Reinforcement Learning Lab of the Quantitative Methodology Program, Survey Research Center, Institute for Social Research, Fall 2015.

At the UCLA Kasari Autism Research Lab, February 2015.
L to R: Charlotte DiStefano, Wendy Shih, Ya-Chih "Jilly" Chang, Ansel Almirall (son), me, Connie Kasari, Stephanie Shire.

First Published: 01/05/2010; Last Revised: 07/01/2014