BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

151 related articles for article (PubMed ID: 38364801)

  • 1. 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]  

  • 2. TREE-BASED REINFORCEMENT LEARNING FOR ESTIMATING OPTIMAL DYNAMIC TREATMENT REGIMES.
    Tao Y; Wang L; Almirall D
    Ann Appl Stat; 2018 Sep; 12(3):1914-1938. PubMed ID: 30984321
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Restricted sub-tree learning to estimate an optimal dynamic treatment regime using observational data.
    Speth K; Wang L
    Stat Med; 2021 Nov; 40(26):5796-5812. PubMed ID: 34340264
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Step-adjusted tree-based reinforcement learning for evaluating nested dynamic treatment regimes using test-and-treat observational data.
    Tang M; Wang L; Gorin MA; Taylor JMG
    Stat Med; 2021 Nov; 40(27):6164-6177. PubMed ID: 34490942
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Optimal dynamic treatment regime estimation using information extraction from unstructured clinical text.
    Zhou N; Brook RD; Dinov ID; Wang L
    Biom J; 2022 Apr; 64(4):805-817. PubMed ID: 35112726
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Penalized Spline-Involved Tree-based (PenSIT) Learning for estimating an optimal dynamic treatment regime using observational data.
    Speth KA; Elliott MR; Marquez JL; Wang L
    Stat Methods Med Res; 2022 Dec; 31(12):2338-2351. PubMed ID: 36189475
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Estimating tree-based dynamic treatment regimes using observational data with restricted treatment sequences.
    Zhou N; Wang L; Almirall D
    Biometrics; 2023 Sep; 79(3):2260-2271. PubMed ID: 36063542
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. Reinforcement learning in clinical medicine: a method to optimize dynamic treatment regime over time.
    Zhang Z;
    Ann Transl Med; 2019 Jul; 7(14):345. PubMed ID: 31475215
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning.
    Luckett DJ; Laber EB; Kahkoska AR; Maahs DM; Mayer-Davis E; Kosorok MR
    J Am Stat Assoc; 2020; 115(530):692-706. PubMed ID: 32952236
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bayesian inference for optimal dynamic treatment regimes in practice.
    Rodriguez Duque D; Moodie EEM; Stephens DA
    Int J Biostat; 2023 Nov; 19(2):309-331. PubMed ID: 37192544
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Reward ignorant modeling of dynamic treatment regimes.
    Wallace MP; Moodie EEM; Stephens DA
    Biom J; 2018 Sep; 60(5):991-1002. PubMed ID: 29845644
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Q-learning for estimating optimal dynamic treatment rules from observational data.
    Moodie EE; Chakraborty B; Kramer MS
    Can J Stat; 2012 Dec; 40(4):629-645. PubMed ID: 23355757
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Dynamic Treatment Regimes.
    Chakraborty B; Murphy SA
    Annu Rev Stat Appl; 2014; 1():447-464. PubMed ID: 25401119
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.