4 papers
Regression and Causality
Michael Schomaker
The causal effect of an intervention (treatment/exposure) on an outcome can be estimated by: i) specifying knowledge about the data-generating process; ii) assessing under what ass…
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…
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…
When and when not to use optimal model averaging
Michael Schomaker, Christian Heumann
Traditionally model averaging has been viewed as an alternative to model selection with the ultimate goal to incorporate the uncertainty associated with the model selection process…