These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

164 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]
    of 9.