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 *

180 related articles for article (PubMed ID: 36869194)

  • 1. Bayesian Statistics for Medical Devices: Progress Since 2010.
    Campbell G; Irony T; Pennello G; Thompson L
    Ther Innov Regul Sci; 2023 May; 57(3):453-463. PubMed ID: 36869194
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bayesian statistics in medical devices: innovation sparked by the FDA.
    Campbell G
    J Biopharm Stat; 2011 Sep; 21(5):871-87. PubMed ID: 21830920
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Statistical innovations in the medical device world sparked by the FDA.
    Campbell G; Yue LQ
    J Biopharm Stat; 2016; 26(1):3-16. PubMed ID: 26372890
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bayesian approaches in medical device clinical trials: a discussion with examples in the regulatory setting.
    Bonangelino P; Irony T; Liang S; Li X; Mukhi V; Ruan S; Xu Y; Yang X; Wang C
    J Biopharm Stat; 2011 Sep; 21(5):938-53. PubMed ID: 21830924
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bayesian Strategies in Rare Diseases.
    Garczarek U; Muehlemann N; Richard F; Yajnik P; Russek-Cohen E
    Ther Innov Regul Sci; 2023 May; 57(3):445-452. PubMed ID: 36566312
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Adaptive design of confirmatory trials: Advances and challenges.
    Lai TL; Lavori PW; Tsang KW
    Contemp Clin Trials; 2015 Nov; 45(Pt A):93-102. PubMed ID: 26079372
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Statistical modeling for Bayesian extrapolation of adult clinical trial information in pediatric drug evaluation.
    Gamalo-Siebers M; Savic J; Basu C; Zhao X; Gopalakrishnan M; Gao A; Song G; Baygani S; Thompson L; Xia HA; Price K; Tiwari R; Carlin BP
    Pharm Stat; 2017 Jul; 16(4):232-249. PubMed ID: 28448684
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial Intelligence in Breast Cancer Screening: Evaluation of FDA Device Regulation and Future Recommendations.
    Potnis KC; Ross JS; Aneja S; Gross CP; Richman IB
    JAMA Intern Med; 2022 Dec; 182(12):1306-1312. PubMed ID: 36342705
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bayesian hierarchical modeling of patient subpopulations: efficient designs of Phase II oncology clinical trials.
    Berry SM; Broglio KR; Groshen S; Berry DA
    Clin Trials; 2013 Oct; 10(5):720-34. PubMed ID: 23983156
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The 2021 landscape of FDA-approved artificial intelligence/machine learning-enabled medical devices: An analysis of the characteristics and intended use.
    Zhu S; Gilbert M; Chetty I; Siddiqui F
    Int J Med Inform; 2022 Sep; 165():104828. PubMed ID: 35780651
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Modelling approaches for histology-independent cancer drugs to inform NICE appraisals: a systematic review and decision-framework.
    Murphy P; Glynn D; Dias S; Hodgson R; Claxton L; Beresford L; Cooper K; Tappenden P; Ennis K; Grosso A; Wright K; Cantrell A; Stevenson M; Palmer S
    Health Technol Assess; 2021 Dec; 25(76):1-228. PubMed ID: 34990339
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Critical appraisal of Bayesian dynamic borrowing from an imperfectly commensurate historical control.
    Harun N; Liu C; Kim MO
    Pharm Stat; 2020 Sep; 19(5):613-625. PubMed ID: 32185886
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bayesian methods for design and analysis of safety trials.
    Price KL; Xia HA; Lakshminarayanan M; Madigan D; Manner D; Scott J; Stamey JD; Thompson L
    Pharm Stat; 2014; 13(1):13-24. PubMed ID: 23897858
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Propensity-score-based meta-analytic predictive prior for incorporating real-world and historical data.
    Liu M; Bunn V; Hupf B; Lin J; Lin J
    Stat Med; 2021 Sep; 40(22):4794-4808. PubMed ID: 34126656
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Optimal sample size determination for single-arm trials in pediatric and rare populations with Bayesian borrowing.
    Ji Z; Lin J; Lin J
    J Biopharm Stat; 2022 Jul; 32(4):529-546. PubMed ID: 35604836
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bayesian Design for Pediatric Clinical Trials with Binary Endpoints When Borrowing Historical Information of Treatment Effect.
    Jin M; Li Q; Kaur A
    Ther Innov Regul Sci; 2021 Mar; 55(2):360-369. PubMed ID: 32955713
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015-20): a comparative analysis.
    Muehlematter UJ; Daniore P; Vokinger KN
    Lancet Digit Health; 2021 Mar; 3(3):e195-e203. PubMed ID: 33478929
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bayesian adaptive design for pediatric clinical trials incorporating a community of prior beliefs.
    Wang Y; Travis J; Gajewski B
    BMC Med Res Methodol; 2022 Apr; 22(1):118. PubMed ID: 35448963
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Propensity score-integrated Bayesian prior approaches for augmented control designs: a simulation study.
    Wang X; Suttner L; Jemielita T; Li X
    J Biopharm Stat; 2022 Jan; 32(1):170-190. PubMed ID: 34939894
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.