3 papers
stat.ME2026
Bayesian Causal Machine Learning for Cure Models
Antonio R. Linero, F. Javier Rubio, Piyali Basak
In survival studies, treatments can benefit patients through different mechanisms: a treatment may increase the probability of being cured or delay failure among patients who are n…
stat.ML2026
Conformalized Super Learner
Zhanli Wu, Fabrizio Leisen, Miguel-Angel Luque-Fernandez +1
The Super Learner (SL) is a widely used ensemble method that combines predictions from a library of learners based on their predictive performance. Interval predictions are of cons…
stat.AP2024
Relative Survival Analysis Using Bayesian Decision Tree Ensembles
Piyali Basak, Antonio R. Linero, Camille Maringe +1
In cancer epidemiology, the \emph{relative survival framework} is used to quantify the hazard associated with cancer by comparing the all-cause mortality hazard in cancer patients…