Showing stat.MEShow all
3 papers · 1 filter
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.ME2023
LEAP: The latent exchangeability prior for borrowing information from historical data
Ethan M. Alt, Xiuya Chang, Xun Jiang +4
It is becoming increasingly popular to elicit informative priors on the basis of historical data. Popular existing priors, including the power prior, commensurate prior, and robust…