SMILE: a predictive model for Scoring the severity of relapses in MultIple scLErosis


In relapsing–remitting multiple sclerosis (RRMS), relapse severity and residual disability are difficult to predict. Nevertheless, this information is crucial both for guiding relapse treatment strategies and for informing patients.

Journal of Neurology
Arthur Chatton
Arthur Chatton
Postdoctoral researcher in Biostatistics

My research interests include causal inference, prediction and simulation studies.