BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

137 related articles for article (PubMed ID: 23021372)

  • 1. Evaluating a new marker for risk prediction: decision analysis to the rescue.
    Baker SG; Kramer BS
    Discov Med; 2012 Sep; 14(76):181-8. PubMed ID: 23021372
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluating a new marker for risk prediction using the test tradeoff: an update.
    Baker SG; Van Calster B; Steyerberg EW
    Int J Biostat; 2012 Mar; 8(1):. PubMed ID: 22499728
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Graphical assessment of incremental value of novel markers in prediction models: From statistical to decision analytical perspectives.
    Steyerberg EW; Vedder MM; Leening MJ; Postmus D; D'Agostino RB; Van Calster B; Pencina MJ
    Biom J; 2015 Jul; 57(4):556-70. PubMed ID: 25042996
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.
    Pencina MJ; D'Agostino RB; D'Agostino RB; Vasan RS
    Stat Med; 2008 Jan; 27(2):157-72; discussion 207-12. PubMed ID: 17569110
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Performance measures for prediction models and markers: evaluation of predictions and classifications].
    Steyerberg EW; Van Calster B; Pencina MJ
    Rev Esp Cardiol; 2011 Sep; 64(9):788-94. PubMed ID: 21763052
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Discriminative ability, reclassification and net benefit: the predictive value of biomarkers].
    Steyerberg EW; Pencina MJ; Van Calster B
    Ned Tijdschr Geneeskd; 2012; 156(41):A5029. PubMed ID: 23062255
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improvement of cardiovascular risk prediction: time to review current knowledge, debates, and fundamentals on how to assess test characteristics.
    Romanens M; Ackermann F; Spence JD; Darioli R; Rodondi N; Corti R; Noll G; Schwenkglenks M; Pencina M
    Eur J Cardiovasc Prev Rehabil; 2010 Feb; 17(1):18-23. PubMed ID: 19952758
    [TBL] [Abstract][Full Text] [Related]  

  • 8. High-throughput quantification of circulating metabolites improves prediction of subclinical atherosclerosis.
    Würtz P; Raiko JR; Magnussen CG; Soininen P; Kangas AJ; Tynkkynen T; Thomson R; Laatikainen R; Savolainen MJ; Laurikka J; Kuukasjärvi P; Tarkka M; Karhunen PJ; Jula A; Viikari JS; Kähönen M; Lehtimäki T; Juonala M; Ala-Korpela M; Raitakari OT
    Eur Heart J; 2012 Sep; 33(18):2307-16. PubMed ID: 22450427
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Tumor markers in breast cancer monitoring should be scheduled according to initial stage and follow-up time: a prospective study on 859 patients.
    Gion M; Peloso L; Mione R; Vignati G; Fortunato A; Saracchini S; Biasioli R; Gulisano M; Cappelli G
    Cancer J; 2001; 7(3):181-90. PubMed ID: 11419026
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting risk of breast cancer in postmenopausal women by hormone receptor status.
    Chlebowski RT; Anderson GL; Lane DS; Aragaki AK; Rohan T; Yasmeen S; Sarto G; Rosenberg CA; Hubbell FA;
    J Natl Cancer Inst; 2007 Nov; 99(22):1695-705. PubMed ID: 18000216
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Limits of predictive models using microarray data for breast cancer clinical treatment outcome.
    Reid JF; Lusa L; De Cecco L; Coradini D; Veneroni S; Daidone MG; Gariboldi M; Pierotti MA
    J Natl Cancer Inst; 2005 Jun; 97(12):927-30. PubMed ID: 15956654
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Overview of risk prediction models in cardiovascular disease research.
    Cui J
    Ann Epidemiol; 2009 Oct; 19(10):711-7. PubMed ID: 19628409
    [TBL] [Abstract][Full Text] [Related]  

  • 13. New metrics for assessing diagnostic potential of candidate biomarkers.
    Pickering JW; Endre ZH
    Clin J Am Soc Nephrol; 2012 Aug; 7(8):1355-64. PubMed ID: 22679181
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker.
    Moons KG; Kengne AP; Woodward M; Royston P; Vergouwe Y; Altman DG; Grobbee DE
    Heart; 2012 May; 98(9):683-90. PubMed ID: 22397945
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and validation of a general population renal risk score.
    Halbesma N; Jansen DF; Heymans MW; Stolk RP; de Jong PE; Gansevoort RT;
    Clin J Am Soc Nephrol; 2011 Jul; 6(7):1731-8. PubMed ID: 21734089
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Coronary disease risk prediction algorithm warranting incorporation of C-reactive protein in Turkish adults, manifesting sex difference.
    Onat A; Can G; Hergenç G; Uğur M; Yüksel H
    Nutr Metab Cardiovasc Dis; 2012 Aug; 22(8):643-50. PubMed ID: 21315565
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Linking evidence-based medicine therapeutic summary measures to clinical decision analysis.
    Djulbegovic B; Hozo I; Lyman GH
    MedGenMed; 2000 Jan; 2(1):E6. PubMed ID: 11104452
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The incremental value of thrombelastography for prediction of excessive blood loss after cardiac surgery: an observational study.
    Wasowicz M; McCluskey SA; Wijeysundera DN; Yau TM; Meinri M; Beattie WS; Karkouti K
    Anesth Analg; 2010 Aug; 111(2):331-8. PubMed ID: 20610554
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Liver transplantation for hepatocellular carcinoma: a model including α-fetoprotein improves the performance of Milan criteria.
    Duvoux C; Roudot-Thoraval F; Decaens T; Pessione F; Badran H; Piardi T; Francoz C; Compagnon P; Vanlemmens C; Dumortier J; Dharancy S; Gugenheim J; Bernard PH; Adam R; Radenne S; Muscari F; Conti F; Hardwigsen J; Pageaux GP; Chazouillères O; Salame E; Hilleret MN; Lebray P; Abergel A; Debette-Gratien M; Kluger MD; Mallat A; Azoulay D; Cherqui D;
    Gastroenterology; 2012 Oct; 143(4):986-94.e3; quiz e14-5. PubMed ID: 22750200
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluating the performance of models for predicting the BRCA germline mutations in Han Chinese familial breast cancer patients.
    Rao NY; Hu Z; Yu JM; Li WF; Zhang B; Su FX; Wu J; Shen ZZ; Huang W; Shao ZM
    Breast Cancer Res Treat; 2009 Aug; 116(3):563-70. PubMed ID: 18807178
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.