We were recently awarded funding through CANSSI’s Collaborative Research Team program to work with the Yi (University of Western Ontario) and Schnitzer (Université de Montréal) labs on a series of projects focussed on learning from electronic health records in the face of data complexities (confounding, high dimensionality, measurement error, informative sampling schemes). More details on the project may be found here: https://canssi.ca/story/crt-28/
We are looking forward to working and learning together!
