Daniel Almirall

Research Associate Professor, SRC-Quantitative Methods
Research Associate Professor, LSA Statistics
Daniel Almirall

BIO

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