Title | Comment. |
Publication Type | Journal Article |
Year of Publication | 2016 |
Authors | Chen, Jingxiang, Yufeng Liu, Donglin Zeng, Rui Song, Yingqi Zhao, and Michael R. Kosorok |
Journal | J Am Stat Assoc |
Volume | 111 |
Issue | 515 |
Pagination | 942-947 |
Date Published | 2016 |
ISSN | 0162-1459 |
Abstract | Xu, Müller, Wahed, and Thall proposed a Bayesian model to analyze an acute leukemia study involving multi-stage chemotherapy regimes. We discuss two alternative methods, Q-learning and O-learning, to solve the same problem from the machine learning point of view. The numerical studies show that these methods can be flexible and have advantages in some situations to handle treatment heterogeneity while being robust to model misspecification. |
DOI | 10.1080/01621459.2016.1200914 |
Alternate Journal | J Am Stat Assoc |
Original Publication | Comment on ``Bayesian nonparametric estimation for dynamic treatment regimes with sequential transition tmes, by Xu, Y., Muller, P. Wahed, AS and Thall, PF.'' |
PubMed ID | 28003710 |
PubMed Central ID | PMC5167482 |
Grant List | P01 CA142538 / CA / NCI NIH HHS / United States R01 DK108073 / DK / NIDDK NIH HHS / United States |
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