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Journal of the American Statistical Association Volume 114, 2019 - Issue 527
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Theory and Methods

Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes

Wensheng ZhuKey Laboratory for Applied Statistics of MOE, School of Mathematics and Statistics, Northeast Normal University, Changchun, ChinaView further author information
,
Donglin ZengDepartments of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NCView further author information
&
Rui SongDepartment of Statistics, North Carolina State University, Raleigh, NCView further author information
Pages 1404-1417 | Received 01 Apr 2017, Accepted 01 Jun 2018, Published online: 29 Oct 2018

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Read on this site (3)

Yunan Wu, Lan Wang & Haoda Fu. (2023) Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension. Journal of the American Statistical Association 118:541, pages 305-314.
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Yi Ding, Yingying Li & Rui Song. (2022) Statistical Learning for Individualized Asset Allocation. Journal of the American Statistical Association 0:0, pages 1-11.
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Wenchuan Guo, Xiao-Hua Zhou & Shujie Ma. (2021) Estimation of Optimal Individualized Treatment Rules Using a Covariate-Specific Treatment Effect Curve With High-Dimensional Covariates. Journal of the American Statistical Association 116:533, pages 309-321.
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Articles from other publishers (4)

Zhen Li, Jie Chen, Eric Laber, Fang Liu & Richard Baumgartner. (2023) Optimal Treatment Regimes: A Review and Empirical Comparison. International Statistical Review 91:3, pages 427-463.
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Eun Jeong Oh, Min Qian & Ying Kuen Cheung. (2022) Generalization error bounds of dynamic treatment regimes in penalized regression-based learning. The Annals of Statistics 50:4.
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Jiacheng Wu, Nina Galanter, Susan M. Shortreed & Erica E.M. Moodie. (2022) Ranking Tailoring Variables for Constructing Individualized Treatment Rules: An Application to Schizophrenia. Journal of the Royal Statistical Society Series C: Applied Statistics 71:2, pages 309-330.
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Nina Deliu & Bibhas Chakraborty. 2022. The Elements of Joint Learning and Optimization in Operations Management. The Elements of Joint Learning and Optimization in Operations Management 391 444 .

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