BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

245 related articles for article (PubMed ID: 21570638)

  • 1. A principled approach to setting optimal diagnostic thresholds: where ROC and indifference curves meet.
    Irwin RJ; Irwin TC
    Eur J Intern Med; 2011 Jun; 22(3):230-4. PubMed ID: 21570638
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Advantages to transforming the receiver operating characteristic (ROC) curve into likelihood ratio co-ordinates.
    Johnson NP
    Stat Med; 2004 Jul; 23(14):2257-66. PubMed ID: 15236429
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The partial area under the summary ROC curve.
    Walter SD
    Stat Med; 2005 Jul; 24(13):2025-40. PubMed ID: 15900606
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Receiver operating characteristic (ROC) curves and the definition of threshold levels to diagnose coronary artery disease on electrocardiographic stress testing. Part I: The use of ROC curves in diagnostic medicine and electrocardiographic markers of ischaemia.
    Barnabei L; Marazìa S; De Caterina R
    J Cardiovasc Med (Hagerstown); 2007 Nov; 8(11):873-81. PubMed ID: 17906471
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [ROC (receiver operating characteristics) curve: principles and application in biology].
    Delacour H; Servonnet A; Perrot A; Vigezzi JF; Ramirez JM
    Ann Biol Clin (Paris); 2005; 63(2):145-54. PubMed ID: 15771972
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An enhancement of ROC curves made them clinically relevant for diagnostic-test comparison and optimal-threshold determination.
    Subtil F; Rabilloud M
    J Clin Epidemiol; 2015 Jul; 68(7):752-9. PubMed ID: 25660050
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Receiver operating characteristic (ROC) curves and the definition of threshold levels to diagnose coronary artery disease on electrocardiographic stress testing. Part II: the use of ROC curves in the choice of electrocardiographic stress test markers of ischaemia.
    Marazìa S; Barnabei L; De Caterina R
    J Cardiovasc Med (Hagerstown); 2008 Jan; 9(1):22-31. PubMed ID: 18268415
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Advantages to transforming the receiver operating characteristic (ROC) curve into likelihood ratio co-ordinates.
    Fosgate GT
    Stat Med; 2005 Apr; 24(8):1287-8; author reply 1288. PubMed ID: 15765500
    [No Abstract]   [Full Text] [Related]  

  • 9. A preference-based measure for test performance with an application to prenatal diagnostics.
    Felder S; Robra BP
    Stat Med; 2006 Nov; 25(21):3696-706. PubMed ID: 16345129
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A new parametric method based on S-distributions for computing receiver operating characteristic curves for continuous diagnostic tests.
    Sorribas A; March J; Trujillano J
    Stat Med; 2002 May; 21(9):1213-35. PubMed ID: 12111875
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Evaluation of diagnostic tests performance: the ROC curve].
    Van Meerhaeghe A
    Rev Med Brux; 2002 Apr; 23(2):92-5. PubMed ID: 12056064
    [TBL] [Abstract][Full Text] [Related]  

  • 12. On the exact interval estimation for the difference in paired areas under the ROC curves.
    Li CR; Liao CT; Liu JP
    Stat Med; 2008 Jan; 27(2):224-42. PubMed ID: 17139702
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Best combination of multiple diagnostic tests for screening purposes.
    Qin J; Zhang B
    Stat Med; 2010 Dec; 29(28):2905-19. PubMed ID: 20862668
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The agreement chart as an alternative to the receiver-operating characteristic curve for diagnostic tests.
    Bangdiwala SI; Haedo AS; Natal ML; Villaveces A
    J Clin Epidemiol; 2008 Sep; 61(9):866-74. PubMed ID: 18687288
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Confidence intervals around Bayes Cost in multi-state diagnostic settings to estimate optimal performance.
    Batterton KA; Schubert CM
    Stat Med; 2014 Aug; 33(19):3280-99. PubMed ID: 24763997
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Wilcoxon-based group sequential designs for comparison of areas under two correlated ROC curves.
    Zhou XH; Li SM; Gatsonis CA
    Stat Med; 2008 Jan; 27(2):213-23. PubMed ID: 17357988
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evaluating diagnostic tests: The area under the ROC curve and the balance of errors.
    Hand DJ
    Stat Med; 2010 Jun; 29(14):1502-10. PubMed ID: 20087877
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Assessing the diagnostic accuracy of a sequence of tests.
    Thompson ML
    Biostatistics; 2003 Jul; 4(3):341-51. PubMed ID: 12925502
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Diagnostic tests: a statistical review.
    Schulzer M
    Muscle Nerve; 1994 Jul; 17(7):815-9. PubMed ID: 8008012
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Application of ROC curve analysis to FAMACHA© evaluation of haemonchosis on two sheep farms in South Africa.
    Reynecke DP; Van Wyk JA; Gummow B; Dorny P; Boomker J
    Vet Parasitol; 2011 May; 177(3-4):224-30. PubMed ID: 21334814
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.