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causal-inference
Authors' reply: Letter to the Editor: Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies (SMMR, Vol 27, Issue 6, 2018)
Comparison of fingolimod, dimethyl fumarate and teriflunomide for multiple sclerosis
Can we train machine learning methods to outperform the high-dimensional propensity score algorithm?
Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies
Estimating inverse probability weights using super learner when weight-model specification is unknown in a marginal structural Cox model context
On the application of statistical learning approaches to construct inverse probability weights in marginal structural cox models: hedging against weight-model misspecification
Comparison of statistical approaches for dealing with immortal time bias in drug effectiveness studies
Directed Acyclic Graphs to Identify Confounders: A Case Study Exploring the Impact of Hunger on Virologic Suppression Among HIV-Positive Illicit Drug Users Receiving HIV Treatment
Marginal structural Cox models for estimating the association between beta-interferon exposure and disease progression in a multiple sclerosis cohort
Can joint replacement reduce cardiovascular risk?
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