BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

279 related articles for article (PubMed ID: 31948397)

  • 1. A systematic survey of randomised trials that stopped early for reasons of futility.
    Walter SD; Han H; Guyatt GH; Bassler D; Bhatnagar N; Gloy V; Schandelmaier S; Briel M
    BMC Med Res Methodol; 2020 Jan; 20(1):10. PubMed ID: 31948397
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Quantifying the bias in the estimated treatment effect in randomized trials having interim analyses and a rule for early stopping for futility.
    Walter SD; Han H; Briel M; Guyatt GH
    Stat Med; 2017 Apr; 36(9):1506-1518. PubMed ID: 28183155
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A flexible futility monitoring method with time-varying conditional power boundary.
    Ying Zhang ; Clarke WR
    Clin Trials; 2010 Jun; 7(3):209-18. PubMed ID: 20423927
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Futility interim monitoring with control of type I and II error probabilities using the interim Z-value or confidence limit.
    Lachin JM
    Clin Trials; 2009 Dec; 6(6):565-73. PubMed ID: 19933716
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparison of futility monitoring guidelines using completed phase III oncology trials.
    Zhang Q; Freidlin B; Korn EL; Halabi S; Mandrekar S; Dignam JJ
    Clin Trials; 2017 Feb; 14(1):48-58. PubMed ID: 27590208
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Upstrapping to determine futility: predicting future outcomes nonparametrically from past data.
    Wild JL; Ginde AA; Lindsell CJ; Kaizer AM
    Trials; 2024 May; 25(1):312. PubMed ID: 38725072
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Operating characteristics of sample size re-estimation with futility stopping based on conditional power.
    Lachin JM
    Stat Med; 2006 Oct; 25(19):3348-65. PubMed ID: 16345019
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Optimal futility stopping boundaries for binary endpoints.
    Freitag MM; Li X; Rauch G
    BMC Med Res Methodol; 2024 Mar; 24(1):80. PubMed ID: 38539108
    [TBL] [Abstract][Full Text] [Related]  

  • 9. When inferiority meets non-inferiority: implications for interim analyses.
    Bratton DJ; Williams HC; Kahan BC; Phillips PP; Nunn AJ
    Clin Trials; 2012 Oct; 9(5):605-9. PubMed ID: 22796636
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Statistical controversies in clinical research: futility analyses in oncology-lessons on potential pitfalls from a randomized controlled trial.
    Lesaffre E; Edelman MJ; Hanna NH; Park K; Thatcher N; Willemsen S; Gaschler-Markefski B; Kaiser R; Manegold C
    Ann Oncol; 2017 Jul; 28(7):1419-1426. PubMed ID: 28184431
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Stopping clinical trials early for futility: retrospective analysis of several randomised clinical studies.
    Jitlal M; Khan I; Lee SM; Hackshaw A
    Br J Cancer; 2012 Sep; 107(6):910-7. PubMed ID: 22878376
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Optimal timing for an accelerated interim futility analysis incorporating real world data.
    Haine LMF; Murray TA; Koopmeiners JS
    Contemp Clin Trials; 2024 May; 140():107489. PubMed ID: 38461938
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Pro/con clinical debate: It is acceptable to stop large multicentre randomized controlled trials at interim analysis for futility. Pro: Futility stopping can speed up the development of effective treatments.
    Schoenfeld DA
    Crit Care; 2005 Feb; 9(1):34-6; discussion 34-6. PubMed ID: 15693981
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Randomized trials stopped early for benefit: a systematic review.
    Montori VM; Devereaux PJ; Adhikari NK; Burns KE; Eggert CH; Briel M; Lacchetti C; Leung TW; Darling E; Bryant DM; Bucher HC; Schünemann HJ; Meade MO; Cook DJ; Erwin PJ; Sood A; Sood R; Lo B; Thompson CA; Zhou Q; Mills E; Guyatt GH
    JAMA; 2005 Nov; 294(17):2203-9. PubMed ID: 16264162
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Interim futility analysis with intermediate endpoints.
    Goldman B; LeBlanc M; Crowley J
    Clin Trials; 2008; 5(1):14-22. PubMed ID: 18283075
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An analysis of protocols and publications suggested that most discontinuations of clinical trials were not based on preplanned interim analyses or stopping rules.
    Stegert M; Kasenda B; von Elm E; You JJ; Blümle A; Tomonaga Y; Saccilotto R; Amstutz A; Bengough T; Briel M;
    J Clin Epidemiol; 2016 Jan; 69():152-60. PubMed ID: 26361993
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Alternative views on setting clinical trial futility criteria.
    Gallo P; Mao L; Shih VH
    J Biopharm Stat; 2014; 24(5):976-93. PubMed ID: 24933121
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Do we need to adjust for interim analyses in a Bayesian adaptive trial design?
    Ryan EG; Brock K; Gates S; Slade D
    BMC Med Res Methodol; 2020 Jun; 20(1):150. PubMed ID: 32522284
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Hybridization of conditional and predictive power for futility assessment in sequential clinical trials with time-to-event outcomes: a resampling approach.
    Yi J; Fang L; Su Z
    Contemp Clin Trials; 2012 Jan; 33(1):138-42. PubMed ID: 21983624
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Futility monitoring for randomized clinical trials with non-proportional hazards: An optimal conditional power approach.
    Wang X; George SL
    Clin Trials; 2023 Dec; 20(6):603-612. PubMed ID: 37366172
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.