Reluctant Transfer Learning in Penalized Regressions for Individualized Treatment Rules under Effect Heterogeneity
效应异质性下个体化治疗规则的惩罚回归审慎迁移学习
Estimating individualized treatment rules (ITRs) is fundamental to precision medicine, where the goal is to tailor treatment decisions to individual patient characteristics. While numerous methods have been developed for ITR estimation, there is limited research on model updating that accounts for shifted treatment-covariate relationships in the ITR setting. In practice, models trained on source data must be updated for new (target) datasets that exhibit shifts in treatment…