SMILE: a predictive model for Scoring the severity of relapses in MultIple scLErosis
F. Lejeune, Arthur Chatton, D.-A. Laplaud, E. Le Page, S. Wiertlewski, G. Edan, A. Kerbrat, D. Veillard, S. Hamonic, N. Jousset, F. Le Frère, J.-C. Ouallet, B. Brochet, A. Ruet, Y. Foucher, Laure Michel
February 2021
Abstract
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.
Publication
Journal of Neurology
Postdoctoral researcher in Biostatistics
My research interests include causal inference, prediction and simulation studies.