Counterfactual Survival Q-learning via Buckley-James Boosting, with Applications to ACTG 175 and CALGB 8923

arXiv:2508.11060v2 Announce Type: replace-cross Abstract: We propose a Buckley James (BJ) Boost Q learning framework for estimating optimal dynamic treatment regimes from right censored survival outcomes in longitudinal randomized clinical trials, motivated by the clinical nee...

🔗 Read more: https://arxiv.org/abs/2508.11060

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