Dealing With Treatment-Confounder Feedback and Sparse Follow-up in Longitudinal Studies: Application of a Marginal Structural Model in a Multiple Sclerosis Cohort.

Karim, Mohammad Ehsanul; Tremlett, Helen; Zhu, Feng; Petkau, John; Kingwell, Elaine

Karim, Mohammad Ehsanul; Tremlett, Helen; Zhu, Feng; Petkau, John; Kingwell, Elaine.

Am J Epidemiol ; 190(5): 908-917, 2021 05 04.

Article in En | MEDLINE | ID: mdl-33125039

Subject(s)

Interferon-beta/therapeutic use; Multiple Sclerosis/drug therapy; Adult; Bias; British Columbia/epidemiology; Cohort Studies; Confounding Factors, Epidemiologic; Disease Progression; Effect Modifier, Epidemiologic; Female; Follow-Up Studies; Humans; Longitudinal Studies; Male; Multiple Sclerosis/epidemiology; Survival Analysis

Key words

bias; confounding factors; epidemiologic methods; inverse probability weighting; marginal structural model; multiple imputation; multiple sclerosis

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Interferon-beta / Multiple Sclerosis Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male Country/Region as subject: America do norte Language: En Journal: Am J Epidemiol Year: 2021 Document type: Article Country of publication: United States

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