“Multi-level Adaptive Implementation Strategies: Design Principles, Optimization Questions and Choosing the Right Experimental Design”

Hosted by the Institute for Public Health

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.

For inquiries contact Emily Hickner.