On the application of statistical learning approaches to construct inverse probability weights in marginal structural cox models: hedging against weight-model misspecification ME Karim, J Petkau, P Gustafson, H Tremlett, BeAMS Group January 2017 Code Video Source Document DAG marginal-structural-model causal-inference multiple-sclerosis longitudinal-data observational-data survival-analysis machine-learning simulation Related Estimating inverse probability weights using super learner when weight-model specification is unknown in a marginal structural Cox model context Comparison of statistical approaches for dealing with immortal time bias in drug effectiveness studies Marginal structural Cox models for estimating the association between beta-interferon exposure and disease progression in a multiple sclerosis cohort Beta-interferon exposure and onset of secondary progressive multiple sclerosis Multiple sclerosis in older adults: the clinical profile and impact of interferon beta treatment