3 papers
stat.AP2026
Evaluating the influence of treatment-effect heterogeneity on discrimination
Florie Bouvier, Etienne Peyrot, Francois Petit +1
Analyzing the heterogeneity of treatment effects is crucial in personalized medicine to identify which patients will benefit from specific treatments. The performance of a conditio…
stat.CO2026
crossfit: A Graph-Based Cross-Fitting Engine in R
Etienne Peyrot, François Petit
Cross-fitting is a key ingredient in many semiparametric estimation procedures, such as double/debiased machine learning (DML), enabling valid estimation of low-dimensional targets…
stat.ME2026
Choosing Covariate Balancing Methods for Causal Inference: Practical Insights from a Simulation Study
Etienne Peyrot, Raphaël Porcher, Francois Petit
Background: Inverse probability of treatment weighting (IPTW) is used for confounding adjustment in observational studies. Newer weighting methods include energy balancing (EB), ke…