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 *

567 related articles for article (PubMed ID: 30403559)

  • 1. An adaptive multi-stage phase I dose-finding design incorporating continuous efficacy and toxicity data from multiple treatment cycles.
    Du Y; Yin J; Sargent DJ; Mandrekar SJ
    J Biopharm Stat; 2019; 29(2):271-286. PubMed ID: 30403559
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Bayesian dose-finding design incorporating toxicity data from multiple treatment cycles.
    Yin J; Qin R; Ezzalfani M; Sargent DJ; Mandrekar SJ
    Stat Med; 2017 Jan; 36(1):67-80. PubMed ID: 27633877
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Repeated measures dose-finding design with time-trend detection in the presence of correlated toxicity data.
    Yin J; Paoletti X; Sargent DJ; Mandrekar SJ
    Clin Trials; 2017 Dec; 14(6):611-620. PubMed ID: 28764555
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Escalation with overdose control using all toxicities and time to event toxicity data in cancer Phase I clinical trials.
    Chen Z; Cui Y; Owonikoko TK; Wang Z; Li Z; Luo R; Kutner M; Khuri FR; Kowalski J
    Contemp Clin Trials; 2014 Mar; 37(2):322-32. PubMed ID: 24530487
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Dose escalation with overdose control using a quasi-continuous toxicity score in cancer Phase I clinical trials.
    Chen Z; Tighiouart M; Kowalski J
    Contemp Clin Trials; 2012 Sep; 33(5):949-58. PubMed ID: 22561391
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A comparison of phase I dose-finding designs in clinical trials with monotonicity assumption violation.
    Abbas R; Rossoni C; Jaki T; Paoletti X; Mozgunov P
    Clin Trials; 2020 Oct; 17(5):522-534. PubMed ID: 32631095
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Bayesian adaptive design for cancer phase I trials using a flexible range of doses.
    Tighiouart M; Cook-Wiens G; Rogatko A
    J Biopharm Stat; 2018; 28(3):562-574. PubMed ID: 28858566
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bayesian interval-based oncology dose-finding design with repeated quasi-continuous toxicity model.
    Zhao D; Zhu J; Wang L
    Contemp Clin Trials; 2021 Mar; 102():106265. PubMed ID: 33418097
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Bayesian adaptive design for estimating the maximum tolerated dose curve using drug combinations in cancer phase I clinical trials.
    Tighiouart M; Li Q; Rogatko A
    Stat Med; 2017 Jan; 36(2):280-290. PubMed ID: 27060889
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Towards using a full spectrum of early clinical trial data: a retrospective analysis to compare potential longitudinal categorical models for molecular targeted therapies in oncology.
    Colin P; Micallef S; Delattre M; Mancini P; Parent E
    Stat Med; 2015 Sep; 34(22):2999-3016. PubMed ID: 26059319
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dose-finding designs using a novel quasi-continuous endpoint for multiple toxicities.
    Ezzalfani M; Zohar S; Qin R; Mandrekar SJ; Deley MC
    Stat Med; 2013 Jul; 32(16):2728-46. PubMed ID: 23335156
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Bayesian dose-finding design for phase I/II clinical trials with nonignorable dropouts.
    Guo B; Yuan Y
    Stat Med; 2015 May; 34(10):1721-32. PubMed ID: 25626676
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Bayesian adaptive Phase I-II clinical trial for evaluating efficacy and toxicity with delayed outcomes.
    Koopmeiners JS; Modiano J
    Clin Trials; 2014 Feb; 11(1):38-48. PubMed ID: 24082004
    [TBL] [Abstract][Full Text] [Related]  

  • 14. TITE-BOIN-ET: Time-to-event Bayesian optimal interval design to accelerate dose-finding based on both efficacy and toxicity outcomes.
    Takeda K; Morita S; Taguri M
    Pharm Stat; 2020 May; 19(3):335-349. PubMed ID: 31829517
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Improved adaptive randomization strategies for a seamless Phase I/II dose-finding design.
    Yan D; Wages NA; Dressler EV
    J Biopharm Stat; 2019; 29(2):333-347. PubMed ID: 30451068
    [TBL] [Abstract][Full Text] [Related]  

  • 16. R-TPI: rolling toxicity probability interval design to shorten the duration and maintain safety of phase I trials.
    Guo W; Ji Y; Li D
    J Biopharm Stat; 2019; 29(3):411-424. PubMed ID: 30744484
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dose finding with continuous outcome in phase I oncology trials.
    Wang Y; Ivanova A
    Pharm Stat; 2015; 14(2):102-7. PubMed ID: 25408518
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Modeling adverse event counts in phase I clinical trials of a cytotoxic agent.
    Muenz DG; Braun TM; Taylor JM
    Clin Trials; 2018 Aug; 15(4):386-397. PubMed ID: 29779418
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Modelling semi-attributable toxicity in dual-agent phase I trials with non-concurrent drug administration.
    Wheeler GM; Sweeting MJ; Mander AP; Lee SM; Cheung YK
    Stat Med; 2017 Jan; 36(2):225-241. PubMed ID: 26891942
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An adaptive dose-finding approach for correlated bivariate binary and continuous outcomes in phase I oncology trials.
    Hirakawa A
    Stat Med; 2012 Mar; 31(6):516-32. PubMed ID: 22108785
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 29.