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...

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Veröffentlicht in:Health Technol Assess
Hauptverfasser: Tilling, Kate, Lawton, Michael, Robertson, Neil, Tremlett, Helen, Zhu, Feng, Harding, Katharine, Oger, Joel, Ben-Shlomo, Yoav
Format: Artigo
Sprache:Inglês
Veröffentlicht: NIHR Journals Library 2016
Schlagworte:
Research Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5116581/
https://ncbi.nlm.nih.gov/pubmed/27817792
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3310/hta20810
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