3 papers
stat.ME2026
Modeling Heterogeneous Mediation Effects in Survival Analysis via an Interpretable M-Learner Framework
Xingyu Li, Qing Liu, Xun Jiang +3
Mediation analysis is a useful tool to evaluate surrogate endpoints in clinical trials. We propose a novel method, the M-survival learner, for estimating heterogeneous indirect tre…
stat.ME2026
Unsupervised dense random survival forests identify interpretable patient profiles with heterogeneous treatment benefit
Xingyu Li, Qing Liu, Tony Jiang +3
Precision oncology aims to prescribe the optimal cancer treatment to the right patients, maximizing therapeutic benefits. However, identifying patient subgroups that may benefit mo…
stat.ML2025
M-learner:A Flexible And Powerful Framework To Study Heterogeneous Treatment Effect In Mediation Model
Xingyu Li, Qing Liu, Tony Jiang +3
We propose a novel method, termed the M-learner, for estimating heterogeneous indirect and total treatment effects and identifying relevant subgroups within a mediation framework.…