3 papers
stat.ME2026
On the calibration of survival models with competing risks
Julie Alberge, Tristan Haugomat, Gaël Varoquaux +1
Survival analysis deals with modeling the time until an event occurs, and accurate probability estimates are crucial for decision-making, particularly in the competing-risks settin…
stat.ML2025
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
Houssam Zenati, Judith Abécassis, Julie Josse +1
Uncovering causal mediation effects is of significant value to practitioners seeking to isolate the direct treatment effect from the potential mediated effect. We propose a double…
stat.ML2024
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
Julie Alberge, Vincent Maladière, Olivier Grisel +2
When dealing with right-censored data, where some outcomes are missing due to a limited observation period, survival analysis -- known as time-to-event analysis -- focuses on predi…