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Dealing with treatment-confounder feedback and sparse follow-up in longitudinal studies - an application of the marginal structural model with a multiple sclerosis cohort.
The interferon-betas are widely prescribed platform therapies for patients with multiple sclerosis (MS). We accessed a cohort of patients with relapsing onset MS from British Columbia, Canada (1995-2013) to examine the potential survival advantage associated with interferon-beta exposure using a marginal structural model. Accounting for potential treatment-confounder feedback between comorbidity, MS disease progression and interferon-beta exposure, we found an association between cumulative interferon-beta use of at least 6 months and improved survival. Sparse follow-up due to variability in patient contact with the health system is one of the biggest challenges in longitudinal analyses. We considered several single-level and multi-level multiple imputation approaches to deal with sparse follow-up of the disease progression information, and both types of approaches produced similar estimates.
Date and Time
Additional Authors and Speakers (not including you)
Helen Tremlett
University of British Columbia
Feng Zhu
University of British Columbia
John Petkau
University of British Columbia
Elaine Kingwell
University of British Columbia
Language of Oral Presentation
English
Language of Visual Aids
English

Speaker

Edit Name Primary Affiliation
M Ehsan Karim The University of British Columbia