58 citations · 105 across the 5 of their papers we have counts for
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stat.ME2018★ 39 cited
Educational Note: Paradoxical Collider Effect in the Analysis of Non-Communicable Disease Epidemiological Data: a reproducible illustration and web application
Miguel Angel Luque-Fernandez, Michael Schomaker, Daniel Redondo-Sanchez +3
Classical epidemiology has focused on the control of confounding but it is only recently that epidemiologists have started to focus on the bias produced by colliders. A collider fo…
stat.ME2018★ 58 cited
Using Longitudinal Targeted Maximum Likelihood Estimation in Complex Settings with Dynamic Interventions
Michael Schomaker, Miguel Angel Luque-Fernandez, Valeriane Leroy +1
Longitudinal targeted maximum likelihood estimation (LTMLE) has very rarely been used to estimate dynamic treatment effects in the context of time-dependent confounding affected by…