Analyzing recurrent events in multiple sclerosis: a review of statistical models with application to the MSOAC database
Publisher: Journal of NeurologyAuthors: David Herman, Julien Tanniou, Emmanuelle Leray, Chloe Pierret, Quentin Pilard View Publication Abstract Patients with multiple sclerosis (MS) are susceptible to experience recurrent events of disability progression and relapses. Many studies still focus on analyzing MS events with traditional methods such as Cox proportional hazards, Poisson, and logistic regression that either […]
Analyzing Recurrent Events in Multiple Sclerosis: A Review of Statistical Models with Application to MSOAC Trial
Event: ECTRIMS 2024, Copenhagen, Denmark Authors: D. Herman, J. Tanniou, N. Lambert, P. Loustalot, Q. Pilard View Poster Introduction In Multiple Sclerosis (MS), patients are likely to face repeated event such as confirmed disability progression (CDP). However, clinical trials often focus on analyzing time to first events, ignoring subsequent events, which are of clinical importance, despite the availability of statistical […]
