BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

237 related articles for article (PubMed ID: 28544622)

  • 1. An investigation into the two-stage meta-analytic copula modelling approach for evaluating time-to-event surrogate endpoints which comprise of one or more events of interest.
    Dimier N; Todd S
    Pharm Stat; 2017 Sep; 16(5):322-333. PubMed ID: 28544622
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Assessment of the information theory approach to evaluating time-to-event surrogate and true endpoints in a meta-analytic setting.
    Dimier N; Todd S
    Pharm Stat; 2021 Mar; 20(2):335-347. PubMed ID: 33145928
    [TBL] [Abstract][Full Text] [Related]  

  • 3. surrosurv: An R package for the evaluation of failure time surrogate endpoints in individual patient data meta-analyses of randomized clinical trials.
    Rotolo F; Paoletti X; Michiels S
    Comput Methods Programs Biomed; 2018 Mar; 155():189-198. PubMed ID: 29512498
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A simple meta-analytic approach for using a binary surrogate endpoint to predict the effect of intervention on true endpoint.
    Baker SG
    Biostatistics; 2006 Jan; 7(1):58-70. PubMed ID: 15972889
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Time-to-event surrogate endpoint validation using mediation analysis and meta-analytic data.
    Le Coënt Q; Legrand C; Rondeau V
    Biostatistics; 2023 Dec; 25(1):98-116. PubMed ID: 36398615
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian adjusted R2 for the meta-analytic evaluation of surrogate time-to-event endpoints in clinical trials.
    Renfro LA; Shi Q; Sargent DJ; Carlin BP
    Stat Med; 2012 Apr; 31(8):743-61. PubMed ID: 22161275
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Statistical evaluation of surrogate endpoints with examples from cancer clinical trials.
    Buyse M; Molenberghs G; Paoletti X; Oba K; Alonso A; Van der Elst W; Burzykowski T
    Biom J; 2016 Jan; 58(1):104-32. PubMed ID: 25682941
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A joint frailty-copula model for meta-analytic validation of failure time surrogate endpoints in clinical trials.
    Sofeu CL; Emura T; Rondeau V
    Biom J; 2021 Feb; 63(2):423-446. PubMed ID: 33006170
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Surrogate endpoints for overall survival in digestive oncology trials: which candidates? A questionnaires survey among clinicians and methodologists.
    Methy N; Bedenne L; Bonnetain F
    BMC Cancer; 2010 Jun; 10():277. PubMed ID: 20537166
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Validation of surrogate endpoints in cancer clinical trials via principal stratification with an application to a prostate cancer trial.
    Tanaka S; Matsuyama Y; Ohashi Y
    Stat Med; 2017 Aug; 36(19):2963-2977. PubMed ID: 28485043
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Intermediate markers as surrogate endpoints in cancer research.
    Schatzkin A
    Hematol Oncol Clin North Am; 2000 Aug; 14(4):887-905. PubMed ID: 10949779
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An alternative trial-level measure for evaluating failure-time surrogate endpoints based on prediction error.
    Belhechmi S; Michiels S; Paoletti X; Rotolo F
    Contemp Clin Trials Commun; 2019 Sep; 15():100402. PubMed ID: 31338479
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Biomarkers and Surrogate Endpoints: Lessons Learned From Glaucoma.
    Medeiros FA
    Invest Ophthalmol Vis Sci; 2017 May; 58(6):BIO20-BIO26. PubMed ID: 28475699
    [TBL] [Abstract][Full Text] [Related]  

  • 14. How to use frailtypack for validating failure-time surrogate endpoints using individual patient data from meta-analyses of randomized controlled trials.
    Sofeu CL; Rondeau V
    PLoS One; 2020; 15(1):e0228098. PubMed ID: 31990928
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Surrogate threshold effect: an alternative measure for meta-analytic surrogate endpoint validation.
    Burzykowski T; Buyse M
    Pharm Stat; 2006; 5(3):173-86. PubMed ID: 17080751
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Use of copula to model within-study association in bivariate meta-analysis of binomial data at the aggregate level: A Bayesian approach and application to surrogate endpoint evaluation.
    Papanikos T; Thompson JR; Abrams KR; Bujkiewicz S
    Stat Med; 2022 Nov; 41(25):4961-4981. PubMed ID: 35932152
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Uncertainty in the Bayesian meta-analysis of normally distributed surrogate endpoints.
    Bujkiewicz S; Thompson JR; Spata E; Abrams KR
    Stat Methods Med Res; 2017 Oct; 26(5):2287-2318. PubMed ID: 26271918
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A rank test for bivariate time-to-event outcomes when one event is a surrogate.
    Shaw PA; Fay MP
    Stat Med; 2016 Aug; 35(19):3413-23. PubMed ID: 27059817
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Meta-analysis for the evaluation of surrogate endpoints in cancer clinical trials.
    Shi Q; Sargent DJ
    Int J Clin Oncol; 2009 Apr; 14(2):102-11. PubMed ID: 19390940
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An information-theoretic approach to surrogate-marker evaluation with failure time endpoints.
    Pryseley A; Tilahun A; Alonso A; Molenberghs G
    Lifetime Data Anal; 2011 Apr; 17(2):195-214. PubMed ID: 20878357
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.