BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

109 related articles for article (PubMed ID: 20608262)

  • 1. [Meta-analysis based on individual patient data: example of advanced colorectal cancer].
    Piedbois P; Buyse M
    Rech Soins Infirm; 2010 Jun; (101):25-8. PubMed ID: 20608262
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Individual patient-level and study-level meta-analysis for investigating modifiers of treatment effect.
    Teramukai S; Matsuyama Y; Mizuno S; Sakamoto J
    Jpn J Clin Oncol; 2004 Dec; 34(12):717-21. PubMed ID: 15640501
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Use of meta-analysis for the validation of surrogate endpoints and biomarkers in cancer trials.
    Buyse M
    Cancer J; 2009; 15(5):421-5. PubMed ID: 19826362
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Empirical comparison of subgroup effects in conventional and individual patient data meta-analyses.
    Koopman L; van der Heijden GJ; Hoes AW; Grobbee DE; Rovers MM
    Int J Technol Assess Health Care; 2008; 24(3):358-61. PubMed ID: 18601805
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Meta-analysis of individual patient data versus aggregate data from longitudinal clinical trials.
    Jones AP; Riley RD; Williamson PR; Whitehead A
    Clin Trials; 2009 Feb; 6(1):16-27. PubMed ID: 19254930
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The relative benefits of meta-analysis conducted with individual participant data versus aggregated data.
    Cooper H; Patall EA
    Psychol Methods; 2009 Jun; 14(2):165-76. PubMed ID: 19485627
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Contribution of meta-analyses to the evaluation of treatments for advanced colorectal cancer.
    Zelek L; Piedbois P; Buyse M
    Expert Rev Anticancer Ther; 2002 Aug; 2(4):417-25. PubMed ID: 12647985
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Investigating patient exclusion bias in meta-analysis.
    Tierney JF; Stewart LA
    Int J Epidemiol; 2005 Feb; 34(1):79-87. PubMed ID: 15561753
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of methods of handling missing data in individual patient data meta-analyses: an empirical example on antibiotics in children with acute otitis media.
    Koopman L; van der Heijden GJ; Grobbee DE; Rovers MM
    Am J Epidemiol; 2008 Mar; 167(5):540-5. PubMed ID: 18184640
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Surrogate endpoints for overall survival in advanced colorectal cancer: a clinician's perspective.
    Piedbois P; Miller Croswell J
    Stat Methods Med Res; 2008 Oct; 17(5):519-27. PubMed ID: 18285441
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An overview of methods and empirical comparison of aggregate data and individual patient data results for investigating heterogeneity in meta-analysis of time-to-event outcomes.
    Smith CT; Williamson PR; Marson AG
    J Eval Clin Pract; 2005 Oct; 11(5):468-78. PubMed ID: 16164588
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A new and rapid scoring system to assess the scientific evidence from clinical trials.
    Silber S
    J Interv Cardiol; 2006 Dec; 19(6):485-92. PubMed ID: 17107362
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Meta-analysis as a tool for evidence-based practice: an example using the Rice meta-analysis of smoking cessation interventions.
    Leonard EE; Wynd CA
    Appl Nurs Res; 2008 Feb; 21(1):40-4. PubMed ID: 18226762
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Meta-analysis of continuous outcomes combining individual patient data and aggregate data.
    Riley RD; Lambert PC; Staessen JA; Wang J; Gueyffier F; Thijs L; Boutitie F
    Stat Med; 2008 May; 27(11):1870-93. PubMed ID: 18069721
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The meta-analytic approach to research integration.
    Onyskiw JE
    Can J Nurs Res; 1996; 28(3):69-85. PubMed ID: 8997940
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. [The meta-analysis on summary data].
    Maison P
    Rech Soins Infirm; 2010 Jun; (101):18-24. PubMed ID: 20608261
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Two simple approaches for validating a binary surrogate endpoint using data from multiple trials.
    Baker SG
    Stat Methods Med Res; 2008 Oct; 17(5):505-14. PubMed ID: 18285436
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Meta-analyses of randomized trials in oncology: pros and cons].
    Hill C; Pignon JP
    Bull Cancer; 1999 Mar; 86(3):259-64. PubMed ID: 10210759
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Potential and pitfalls of randomized clinical trials in cancer research.
    Buyse ME
    Cancer Surv; 1989; 8(1):91-105. PubMed ID: 2804990
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.