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 *

173 related articles for article (PubMed ID: 30371745)

  • 1. Cumulative incidence regression for dynamic treatment regimens.
    Chen LW; Yavuz I; Cheng Y; Wahed AS
    Biostatistics; 2020 Apr; 21(2):e113-e130. PubMed ID: 30371745
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Power analysis in a SMART design: sample size estimation for determining the best embedded dynamic treatment regime.
    Artman WJ; Nahum-Shani I; Wu T; Mckay JR; Ertefaie A
    Biostatistics; 2020 Jul; 21(3):432-448. PubMed ID: 30380020
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Use of personalized Dynamic Treatment Regimes (DTRs) and Sequential Multiple Assignment Randomized Trials (SMARTs) in mental health studies.
    Liu Y; Zeng D; Wang Y
    Shanghai Arch Psychiatry; 2014 Dec; 26(6):376-83. PubMed ID: 25642116
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens.
    Liu Y; Wang Y; Kosorok MR; Zhao Y; Zeng D
    Stat Med; 2018 Nov; 37(26):3776-3788. PubMed ID: 29873099
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Design and Analysis Considerations for Comparing Dynamic Treatment Regimens with Binary Outcomes from Sequential Multiple Assignment Randomized Trials.
    Kidwell KM; Seewald NJ; Tran Q; Kasari C; Almirall D
    J Appl Stat; 2018; 45():1628-1651. PubMed ID: 30555200
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Direct likelihood inference on the cause-specific cumulative incidence function: A flexible parametric regression modelling approach.
    Mozumder SI; Rutherford M; Lambert P
    Stat Med; 2018 Jan; 37(1):82-97. PubMed ID: 28971494
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A sequential, multiple assignment, randomized trial design with a tailoring function.
    Hartman H; Schipper M; Kidwell K
    Stat Med; 2024 Jul; ():. PubMed ID: 38973591
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bayesian hierarchical modeling based on multisource exchangeability.
    Kaizer AM; Koopmeiners JS; Hobbs BP
    Biostatistics; 2018 Apr; 19(2):169-184. PubMed ID: 29036300
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparing dynamic treatment regimes using repeated-measures outcomes: modeling considerations in SMART studies.
    Lu X; Nahum-Shani I; Kasari C; Lynch KG; Oslin DW; Pelham WE; Fabiano G; Almirall D
    Stat Med; 2016 May; 35(10):1595-615. PubMed ID: 26638988
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Sequential multiple assignment randomized trial (SMART) with adaptive randomization for quality improvement in depression treatment program.
    Cheung YK; Chakraborty B; Davidson KW
    Biometrics; 2015 Jun; 71(2):450-9. PubMed ID: 25354029
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A proportional hazards regression model for the subdistribution with right-censored and left-truncated competing risks data.
    Zhang X; Zhang MJ; Fine J
    Stat Med; 2011 Jul; 30(16):1933-51. PubMed ID: 21557288
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrating randomized and observational studies to estimate optimal dynamic treatment regimes.
    Batorsky A; Anstrom KJ; Zeng D
    Biometrics; 2024 Mar; 80(2):. PubMed ID: 38804219
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identifying a set that contains the best dynamic treatment regimes.
    Ertefaie A; Wu T; Lynch KG; Nahum-Shani I
    Biostatistics; 2016 Jan; 17(1):135-48. PubMed ID: 26243172
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Penalized estimation for competing risks regression with applications to high-dimensional covariates.
    Ambrogi F; Scheike TH
    Biostatistics; 2016 Oct; 17(4):708-21. PubMed ID: 27118123
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bayesian set of best dynamic treatment regimes: Construction and sample size calculation for SMARTs with binary outcomes.
    Artman WJ; Johnson BA; Lynch KG; McKay JR; Ertefaie A
    Stat Med; 2022 Apr; 41(9):1688-1708. PubMed ID: 35124836
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Smooth semi-nonparametric (SNP) estimation of the cumulative incidence function.
    Duc AN; Wolbers M
    Stat Med; 2017 Aug; 36(18):2921-2934. PubMed ID: 28543626
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Interim monitoring in sequential multiple assignment randomized trials.
    Wu L; Wang J; Wahed AS
    Biometrics; 2023 Mar; 79(1):368-380. PubMed ID: 34571583
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Adaptive randomization in a two-stage sequential multiple assignment randomized trial.
    Wang J; Wu L; Wahed AS
    Biostatistics; 2022 Oct; 23(4):1182-1199. PubMed ID: 34052847
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Constrained parametric model for simultaneous inference of two cumulative incidence functions.
    Shi H; Cheng Y; Jeong JH
    Biom J; 2013 Jan; 55(1):82-96. PubMed ID: 23090878
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.