BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

640 related articles for article (PubMed ID: 32933339)

  • 1. Empirical power comparison of statistical tests in contemporary phase III randomized controlled trials with time-to-event outcomes in oncology.
    Horiguchi M; Hassett MJ; Uno H
    Clin Trials; 2020 Dec; 17(6):597-606. PubMed ID: 32933339
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Designing clinical trials with (restricted) mean survival time endpoint: Practical considerations.
    Eaton A; Therneau T; Le-Rademacher J
    Clin Trials; 2020 Jun; 17(3):285-294. PubMed ID: 32063031
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Log-Rank Test vs MaxCombo and Difference in Restricted Mean Survival Time Tests for Comparing Survival Under Nonproportional Hazards in Immuno-oncology Trials: A Systematic Review and Meta-analysis.
    Mukhopadhyay P; Ye J; Anderson KM; Roychoudhury S; Rubin EH; Halabi S; Chappell RJ
    JAMA Oncol; 2022 Sep; 8(9):1294-1300. PubMed ID: 35862037
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Power and sample size for randomized phase III survival trials under the Weibull model.
    Wu J
    J Biopharm Stat; 2015; 25(1):16-28. PubMed ID: 24895942
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Robust group sequential designs for trials with survival endpoints and delayed response.
    Ghosh P; Ristl R; König F; Posch M; Jennison C; Götte H; Schüler A; Mehta C
    Biom J; 2022 Feb; 64(2):343-360. PubMed ID: 34935177
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of the restricted mean survival time with the hazard ratio in superiority trials with a time-to-event end point.
    Huang B; Kuan PF
    Pharm Stat; 2018 May; 17(3):202-213. PubMed ID: 29282880
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Designing therapeutic cancer vaccine trials with delayed treatment effect.
    Xu Z; Zhen B; Park Y; Zhu B
    Stat Med; 2017 Feb; 36(4):592-605. PubMed ID: 27807870
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of Time-to-First Event and Recurrent-Event Methods in Randomized Clinical Trials.
    Claggett B; Pocock S; Wei LJ; Pfeffer MA; McMurray JJV; Solomon SD
    Circulation; 2018 Aug; 138(6):570-577. PubMed ID: 29588314
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A novel test to compare two treatments based on endpoints involving both nonfatal and fatal events.
    Potthoff RF; Halabi S
    Pharm Stat; 2015; 14(4):273-83. PubMed ID: 25894200
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of survival distributions in clinical trials: A practical guidance.
    Chen X; Wang X; Chen K; Zheng Y; Chappell RJ; Dey J
    Clin Trials; 2020 Oct; 17(5):507-521. PubMed ID: 32594788
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deviation from the Proportional Hazards Assumption in Randomized Phase 3 Clinical Trials in Oncology: Prevalence, Associated Factors, and Implications.
    Rahman R; Fell G; Ventz S; Arfé A; Vanderbeek AM; Trippa L; Alexander BM
    Clin Cancer Res; 2019 Nov; 25(21):6339-6345. PubMed ID: 31345838
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Group sequential monitoring based on the maximum of weighted log-rank statistics with the Fleming-Harrington class of weights in oncology clinical trials.
    Prior TJ
    Stat Methods Med Res; 2020 Dec; 29(12):3525-3532. PubMed ID: 32522077
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Are non-constant rates and non-proportional treatment effects accounted for in the design and analysis of randomised controlled trials? A review of current practice.
    Jachno K; Heritier S; Wolfe R
    BMC Med Res Methodol; 2019 May; 19(1):103. PubMed ID: 31096924
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Design of non-inferiority randomized trials using the difference in restricted mean survival times.
    Weir IR; Trinquart L
    Clin Trials; 2018 Oct; 15(5):499-508. PubMed ID: 30074407
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Restricted Net Treatment Benefit in oncology.
    Piffoux M; Ozenne B; De Backer M; Buyse M; Chiem JC; Péron J
    J Clin Epidemiol; 2024 Jun; 170():111340. PubMed ID: 38570079
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Which test for crossing survival curves? A user's guideline.
    Dormuth I; Liu T; Xu J; Yu M; Pauly M; Ditzhaus M
    BMC Med Res Methodol; 2022 Jan; 22(1):34. PubMed ID: 35094686
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Properties of the weighted log-rank test in the design of confirmatory studies with delayed effects.
    Jiménez JL; Stalbovskaya V; Jones B
    Pharm Stat; 2019 May; 18(3):287-303. PubMed ID: 30592138
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A simulation study comparing the power of nine tests of the treatment effect in randomized controlled trials with a time-to-event outcome.
    Royston P; B Parmar MK
    Trials; 2020 Apr; 21(1):315. PubMed ID: 32252820
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Resampling the N9741 trial to compare tumor dynamic versus conventional end points in randomized phase II trials.
    Sharma MR; Gray E; Goldberg RM; Sargent DJ; Karrison TG
    J Clin Oncol; 2015 Jan; 33(1):36-41. PubMed ID: 25349295
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Sample size determination for the current strategy in oncology Phase 3 trials that tests progression-free survival and overall survival in a two-stage design framework.
    Nomura S; Hirakawa A; Hamada C
    J Biopharm Stat; 2018; 28(4):589-611. PubMed ID: 28886305
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 32.