Modelling disease progression in relapsing–remitting onset multiple sclerosis using multilevel models applied to longitudinal data from two natural history cohorts and one treated cohort
Background: The ability to better predict disease progression represents a major unmet need in multiple sclerosis (MS), and would help to inform therapeutic and management choices. Objectives: To develop multilevel models using longitudinal data on disease progression in patients with relapsing–remi...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
NIHR Journals Library
2016-10-01
|
| Series: | Health Technology Assessment |
| Online Access: | https://doi.org/10.3310/hta20810 |