Marginal structural Cox models for estimating the association between β-interferon exposure and disease progression in a multiple sclerosis cohort.

ABSTRACT: Longitudinal observational data are required to assess the association between exposure to β-interferon medications and disease progression among relapsing-remitting multiple sclerosis (MS) patients in the "real-world" clinical practice setting. Marginal structural Cox models (MSCMs) can provide distinct advantages over traditional approaches by allowing adjustment for time-varying confounders such as MS relapses, as well as baseline characteristics, through the use of inverse probability weighting. We assessed the suitability of MSCMs to analyze data from a large cohort of 1,697 relapsing-remitting MS patients in British Columbia, Canada (1995-2008). In the context of this observational study, which spanned more than a decade and involved patients with a chronic yet fluctuating disease, t

SUBMITTER: Karim ME 

PROVIDER: S-EPMC4082342 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature