2 papers
stat.ML2026
Counterfactual Survival Q-learning via Buckley-James Boosting, with Applications to ACTG 175 and CALGB 8923
Jeongjin Lee, Jong-Min Kim
We propose a Buckley James (BJ) Boost Q learning framework for estimating optimal dynamic treatment regimes from right censored survival outcomes in longitudinal randomized clinica…
stat.ME2025
Counterfactual Q Learning via the Linear Buckley James Method for Longitudinal Survival Data
Jeongjin Lee, Jong-Min Kim
Treatment strategies are critical in healthcare, particularly when outcomes are subject to censoring. This study introduces the Counterfactual Buckley-James Q-Learning framework, w…