BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

310 related articles for article (PubMed ID: 29700965)

  • 21. A Bayesian design for finding optimal biological dose with mixed types of responses of toxicity and efficacy.
    Zhang D; Xu J
    Contemp Clin Trials; 2023 Apr; 127():107113. PubMed ID: 36758934
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Time-to-Event Bayesian Optimal Interval Design to Accelerate Phase I Trials.
    Yuan Y; Lin R; Li D; Nie L; Warren KE
    Clin Cancer Res; 2018 Oct; 24(20):4921-4930. PubMed ID: 29769209
    [TBL] [Abstract][Full Text] [Related]  

  • 23. An extended Bayesian semi-mechanistic dose-finding design for phase I oncology trials using pharmacokinetic and pharmacodynamic information.
    Yang C; Li Y
    Stat Med; 2024 Feb; 43(4):689-705. PubMed ID: 38110304
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. The 3 + 3 design in dose-finding studies with small sample sizes: Pitfalls and possible remedies.
    Chiuzan C; Dehbi HM
    Clin Trials; 2024 Jun; 21(3):350-357. PubMed ID: 38618916
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. Bayesian optimization design for dose-finding based on toxicity and efficacy outcomes in phase I/II clinical trials.
    Takahashi A; Suzuki T
    Pharm Stat; 2021 May; 20(3):422-439. PubMed ID: 33258282
    [TBL] [Abstract][Full Text] [Related]  

  • 28. TEPI-2 and UBI: designs for optimal immuno-oncology and cell therapy dose finding with toxicity and efficacy.
    Li P; Liu R; Lin J; Ji Y
    J Biopharm Stat; 2020 Nov; 30(6):979-992. PubMed ID: 32951518
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. TITE-gBOIN: Time-to-event Bayesian optimal interval design to accelerate dose-finding accounting for toxicity grades.
    Takeda K; Xia Q; Liu S; Rong A
    Pharm Stat; 2022 Mar; 21(2):496-506. PubMed ID: 34862715
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. 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]  

  • 33. Dose escalation with over-dose and under-dose controls in Phase I/II clinical trials.
    Chen Z; Yuan Y; Li Z; Kutner M; Owonikoko T; Curran WJ; Khuri F; Kowalski J
    Contemp Clin Trials; 2015 Jul; 43():133-41. PubMed ID: 26012358
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Design considerations for phase I/II dose finding clinical trials in Immuno-oncology and cell therapy.
    Liu R; Lin J; Li P
    Contemp Clin Trials; 2020 Sep; 96():106083. PubMed ID: 32659438
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Backfilling Patients in Phase I Dose-Escalation Trials Using Bayesian Optimal Interval Design (BOIN).
    Zhao Y; Yuan Y; Korn EL; Freidlin B
    Clin Cancer Res; 2024 Feb; 30(4):673-679. PubMed ID: 38048044
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Performance of toxicity probability interval based designs in contrast to the continual reassessment method.
    Horton BJ; Wages NA; Conaway MR
    Stat Med; 2017 Jan; 36(2):291-300. PubMed ID: 27435150
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Optimal dose escalation methods using deep reinforcement learning in phase I oncology trials.
    Matsuura K; Sakamaki K; Honda J; Sozu T
    J Biopharm Stat; 2023 Sep; 33(5):639-652. PubMed ID: 36717962
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Bayesian adaptive model selection design for optimal biological dose finding in phase I/II clinical trials.
    Lin R; Yin G; Shi H
    Biostatistics; 2023 Apr; 24(2):277-294. PubMed ID: 34296266
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Performance of phase-I dose finding designs with and without a run-in intra-patient dose escalation stage.
    Labrenz J; Edelmann D; Heitmann JS; Salih HR; Kopp-Schneider A; Schlenk RF
    Pharm Stat; 2023 Mar; 22(2):236-247. PubMed ID: 36285348
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 16.