3 papers
stat.ME2025
Is checking for sequential positivity violations getting you down? Try sPoRT!
Arthur Chatton, Michael Schomaker, Miguel-Angel Luque-Fernandez +2
Background: Sequential positivity is often a necessary assumption for drawing causal inferences, such as through marginal structural modeling. Unfortunately, verification of this a…
stat.ME2024
What if we had built a prediction model with a survival super learner instead of a Cox model 10 years ago?
Arthur Chatton, Ãmilie Pilote, Kevin Assob Feugo +3
Objective: This study sought to compare the drop in predictive performance over time according to the modeling approach (regression versus machine learning) used to build a kidney…
stat.ME2024
Personalised dynamic super learning: an application in predicting hemodiafiltration convection volumes
Arthur Chatton, Michèle Bally, Renée Lévesque +3
Obtaining continuously updated predictions is a major challenge for personalised medicine. Leveraging combinations of parametric regressions and machine learning approaches, the pe…