165 related articles for article (PubMed ID: 36755137)
1. Accountable survival contrast-learning for optimal dynamic treatment regimes.
Choi T; Lee H; Choi S
Sci Rep; 2023 Feb; 13(1):2250. PubMed ID: 36755137
[TBL] [Abstract][Full Text] [Related]
2. Doubly robust estimation of optimal dynamic treatment regimes with multicategory treatments and survival outcomes.
Zhang Z; Yi D; Fan Y
Stat Med; 2022 Oct; 41(24):4903-4923. PubMed ID: 35948279
[TBL] [Abstract][Full Text] [Related]
3. Optimal two-stage dynamic treatment regimes from a classification perspective with censored survival data.
Hager R; Tsiatis AA; Davidian M
Biometrics; 2018 Dec; 74(4):1180-1192. PubMed ID: 29775203
[TBL] [Abstract][Full Text] [Related]
4. Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective.
Bai X; Tsiatis AA; Lu W; Song R
Lifetime Data Anal; 2017 Oct; 23(4):585-604. PubMed ID: 27480339
[TBL] [Abstract][Full Text] [Related]
5. Imputation-based Q-learning for optimizing dynamic treatment regimes with right-censored survival outcome.
Lyu L; Cheng Y; Wahed AS
Biometrics; 2023 Dec; 79(4):3676-3689. PubMed ID: 37129942
[TBL] [Abstract][Full Text] [Related]
6. Adaptive contrast weighted learning for multi-stage multi-treatment decision-making.
Tao Y; Wang L
Biometrics; 2017 Mar; 73(1):145-155. PubMed ID: 27213913
[TBL] [Abstract][Full Text] [Related]
7. A matching-based machine learning approach to estimating optimal dynamic treatment regimes with time-to-event outcomes.
Wang X; Lee H; Haaland B; Kerrigan K; Puri S; Akerley W; Shen J
Stat Methods Med Res; 2024 May; 33(5):794-806. PubMed ID: 38502008
[TBL] [Abstract][Full Text] [Related]
8. Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness.
Dong L; Laber E; Goldberg Y; Song R; Yang S
Stat Med; 2020 Nov; 39(25):3503-3520. PubMed ID: 32729973
[TBL] [Abstract][Full Text] [Related]
9. C-learning: A new classification framework to estimate optimal dynamic treatment regimes.
Zhang B; Zhang M
Biometrics; 2018 Sep; 74(3):891-899. PubMed ID: 29228509
[TBL] [Abstract][Full Text] [Related]
10. Multiobjective tree-based reinforcement learning for estimating tolerant dynamic treatment regimes.
Song Y; Wang L
Biometrics; 2024 Jan; 80(1):. PubMed ID: 38364801
[TBL] [Abstract][Full Text] [Related]
11. Doubly-robust methods for differences in restricted mean lifetimes using pseudo-observations.
Choi S; Choi T; Lee HY; Han SW; Bandyopadhyay D
Pharm Stat; 2022 Nov; 21(6):1185-1198. PubMed ID: 35524651
[TBL] [Abstract][Full Text] [Related]
12. Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part I: main content.
Orellana L; Rotnitzky A; Robins JM
Int J Biostat; 2010; 6(2):Article 8. PubMed ID: 21969994
[TBL] [Abstract][Full Text] [Related]
13. Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions.
Zhang B; Tsiatis AA; Laber EB; Davidian M
Biometrika; 2013; 100(3):. PubMed ID: 24302771
[TBL] [Abstract][Full Text] [Related]
14. Model selection for survival individualized treatment rules using the jackknife estimator.
Honvoh GD; Cho H; Kosorok MR
BMC Med Res Methodol; 2022 Dec; 22(1):328. PubMed ID: 36550398
[TBL] [Abstract][Full Text] [Related]
15. Estimating Optimal Treatment Regimes from a Classification Perspective.
Zhang B; Tsiatis AA; Davidian M; Zhang M; Laber E
Stat; 2012 Jan; 1(1):103-114. PubMed ID: 23645940
[TBL] [Abstract][Full Text] [Related]
16. HIGH-DIMENSIONAL A-LEARNING FOR OPTIMAL DYNAMIC TREATMENT REGIMES.
Shi C; Fan A; Song R; Lu W
Ann Stat; 2018 Jun; 46(3):925-957. PubMed ID: 29805186
[TBL] [Abstract][Full Text] [Related]
17. New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes.
Zhao YQ; Zeng D; Laber EB; Kosorok MR
J Am Stat Assoc; 2015; 110(510):583-598. PubMed ID: 26236062
[TBL] [Abstract][Full Text] [Related]
18. Estimation in optimal treatment regimes based on mean residual lifetimes with right-censored data.
Liu Z; Zhan Z; Lin C; Zhang B
Biom J; 2023 Dec; 65(8):e2200340. PubMed ID: 37789592
[TBL] [Abstract][Full Text] [Related]
19. Estimating the causal effect of treatment regimes for organ transplantation.
Boatman JA; Vock DM
Biometrics; 2018 Dec; 74(4):1407-1416. PubMed ID: 29992533
[TBL] [Abstract][Full Text] [Related]
20. Pool adjacent violators algorithm-assisted learning with application on estimating optimal individualized treatment regimes.
Chen B; Yuan A; Qin J
Biometrics; 2022 Dec; 78(4):1475-1488. PubMed ID: 34181761
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
