Showing stat.APShow all
2 papers · 1 filter
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.AP2023
Do machine learning methods lead to similar individualized treatment rules? A comparison study on real data
Florie Bouvier, Etienne Peyrot, Alan Balendran +4
Identifying patients who benefit from a treatment is a key aspect of personalized medicine, which allows the development of individualized treatment rules (ITRs). Many machine lear…