Research Associate Professor
Department of Statistics
Institute for Social Research, University of Michigan
About Daniel Almirall
Daniel Almirall is a statistician who develops methods to form evidence-based adaptive interventions. Adaptive interventions are used to guide individualized intervention decisions for the on-going management of chronic illnesses or disorders such as drug abuse, depression, anxiety, autism, obesity, or HIV/AIDS. More recently, Mr. Almirall has been developing methods to inform the construction of optimized multilevel adaptive implementation interventions (MAISYs) using Multilevel Implementation SMARTs (MI-SMARTs). He is particularly interested in applications in mental health and substance use.
Hybrid Experimental Designs for Developing Mobile Interventions
Optimization of Adaptive Interventions
Leveraging digital technology to improve employee health and well-being: New intervention and experimental approaches
Advances in Adaptive Interventions to Improve Outcomes for Individuals with SUD and HIV
Optimizing the Adaptation and Personalization of SUD Services
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