BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

622 related articles for article (PubMed ID: 28764555)

  • 1. 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]  

  • 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. 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]  

  • 4. Dose-finding design using mixed-effect proportional odds model for longitudinal graded toxicity data in phase I oncology clinical trials.
    Doussau A; ThiƩbaut R; Paoletti X
    Stat Med; 2013 Dec; 32(30):5430-47. PubMed ID: 24018535
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Dose finding with longitudinal data: simpler models, richer outcomes.
    Paoletti X; Doussau A; Ezzalfani M; Rizzo E; ThiƩbaut R
    Stat Med; 2015 Sep; 34(22):2983-98. PubMed ID: 26109523
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Dose-finding designs for trials of molecularly targeted agents and immunotherapies.
    Chiuzan C; Shtaynberger J; Manji GA; Duong JK; Schwartz GK; Ivanova A; Lee SM
    J Biopharm Stat; 2017; 27(3):477-494. PubMed ID: 28166468
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Phase I/II dose-finding design for molecularly targeted agent: Plateau determination using adaptive randomization.
    Riviere MK; Yuan Y; Jourdan JH; Dubois F; Zohar S
    Stat Methods Med Res; 2018 Feb; 27(2):466-479. PubMed ID: 26988926
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Seamless Phase I/II Adaptive Design for Oncology Trials of Molecularly Targeted Agents.
    Wages NA; Tait C
    J Biopharm Stat; 2015; 25(5):903-20. PubMed ID: 24904956
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bayesian dose-finding designs for combination of molecularly targeted agents assuming partial stochastic ordering.
    Guo B; Li Y
    Stat Med; 2015 Feb; 34(5):859-75. PubMed ID: 25413162
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A default method to specify skeletons for Bayesian model averaging continual reassessment method for phase I clinical trials.
    Pan H; Yuan Y
    Stat Med; 2017 Jan; 36(2):266-279. PubMed ID: 26991076
    [TBL] [Abstract][Full Text] [Related]  

  • 17. STEIN: A simple toxicity and efficacy interval design for seamless phase I/II clinical trials.
    Lin R; Yin G
    Stat Med; 2017 Nov; 36(26):4106-4120. PubMed ID: 28786138
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Revisiting the definition of dose-limiting toxicities in paediatric oncology phase I clinical trials: An analysis from the Innovative Therapies for Children with Cancer Consortium.
    Bautista F; Moreno L; Marshall L; Pearson ADJ; Geoerger B; Paoletti X
    Eur J Cancer; 2017 Nov; 86():275-284. PubMed ID: 29055843
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Adaptive Phase I clinical trial design using Markov models for conditional probability of toxicity.
    Fernandes LL; Taylor JM; Murray S
    J Biopharm Stat; 2016; 26(3):475-98. PubMed ID: 26098782
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 32.