3 papers
stat.ME2026
Estimating optimal interpretable individualized treatment regimes from a classification perspective using adaptive LASSO
Yunshu Zhang, Shu Yang, Wendy Ye +2
Real-world data (RWD) gains growing interests to provide a representative sample of the population for selecting the optimal treatment options. However, existing complex black box…
stat.ME2025
Doubly Robust Fusion of Many Treatments for Policy Learning
Ke Zhu, Jianing Chu, Ilya Lipkovich +2
Individualized treatment rules/recommendations (ITRs) aim to improve patient outcomes by tailoring treatments to the characteristics of each individual. However, when there are man…
stat.ME2025
Doubly protected estimation for survival outcomes utilizing external controls for randomized clinical trials
Chenyin Gao, Shu Yang, Mingyang Shan +3
Censored survival data are common in clinical trials, but small control groups can pose challenges, particularly in rare diseases or where balanced randomization is impractical. Re…