BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

473 related articles for article (PubMed ID: 16198999)

  • 21. Reader variability in mammography and its implications for expected utility over the population of readers and cases.
    Wagner RF; Beam CA; Beiden SV
    Med Decis Making; 2004; 24(6):561-72. PubMed ID: 15534338
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Semiparametric estimation of time-dependent ROC curves for longitudinal marker data.
    Zheng Y; Heagerty PJ
    Biostatistics; 2004 Oct; 5(4):615-32. PubMed ID: 15475423
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. [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]  

  • 25. Comparison of ROC umbrella volumes with an application to the assessment of lung cancer diagnostic markers.
    Alonzo TA; Nakas CT
    Biom J; 2007 Aug; 49(5):654-64. PubMed ID: 17726716
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Review of the new methodology of analyzing receiver operating characteristic curves.
    Ikeda M; Ishigaki T; Yamauchi K
    Stud Health Technol Inform; 1998; 52 Pt 2():837-40. PubMed ID: 10384578
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A permutation test for comparing ROC curves in multireader studies a multi-reader ROC, permutation test.
    Bandos AI; Rockette HE; Gur D
    Acad Radiol; 2006 Apr; 13(4):414-20. PubMed ID: 16554220
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Evaluation of prognostic clinical and ECG parameters in patients after myocardial infarction by applying logistic regression method.
    Urbonaviciene G; Urbonavicius S; Vorum H; Bluzaite I; Jarusevicius G; Honoré B; Tamosiunaite M
    Pacing Clin Electrophysiol; 2008 Nov; 31(11):1391-8. PubMed ID: 18950295
    [TBL] [Abstract][Full Text] [Related]  

  • 29. The analysis of placement values for evaluating discriminatory measures.
    Pepe MS; Cai T
    Biometrics; 2004 Jun; 60(2):528-35. PubMed ID: 15180681
    [TBL] [Abstract][Full Text] [Related]  

  • 30. ROC analysis for markers with mass at zero.
    Schisterman EF; Reiser B; Faraggi D
    Stat Med; 2006 Feb; 25(4):623-38. PubMed ID: 16345033
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Bivariate random effects meta-analysis of ROC curves.
    Arends LR; Hamza TH; van Houwelingen JC; Heijenbrok-Kal MH; Hunink MG; Stijnen T
    Med Decis Making; 2008; 28(5):621-38. PubMed ID: 18591542
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Survival model predictive accuracy and ROC curves.
    Heagerty PJ; Zheng Y
    Biometrics; 2005 Mar; 61(1):92-105. PubMed ID: 15737082
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Risk prediction for Down's syndrome in young pregnant women using maternal serum biomarkers: determination of cut-off risk from receiver operating characteristic curve analysis.
    Hwa HL; Ko TM; Hsieh FJ; Yen MF; Chou KP; Chen TH
    J Eval Clin Pract; 2007 Apr; 13(2):254-8. PubMed ID: 17378872
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A decision support system to facilitate management of patients with acute gastrointestinal bleeding.
    Chu A; Ahn H; Halwan B; Kalmin B; Artifon EL; Barkun A; Lagoudakis MG; Kumar A
    Artif Intell Med; 2008 Mar; 42(3):247-59. PubMed ID: 18063351
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Can you handle the truth (and know it when you see it)? Understanding sensitivity, specificity, predictive values, and ROC curves.
    Cotter K; Peipert JF
    J Minim Invasive Gynecol; 2005; 12(5):385-90. PubMed ID: 16213422
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. A comparison of regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortality.
    Austin PC
    Stat Med; 2007 Jul; 26(15):2937-57. PubMed ID: 17186501
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Is the model of end-stage liver disease (MELD) valid in Israel? A critical analysis of liver transplant waiting list mortality.
    Ben-Haim M; Carmiel M; Katz P; Shabtai E; Oren R; Nakache R
    Isr Med Assoc J; 2006 Sep; 8(9):605-9. PubMed ID: 17058408
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Restrictions on the three-class ideal observer's decision boundary lines.
    Edwards DC; Metz CE
    IEEE Trans Med Imaging; 2005 Dec; 24(12):1566-73. PubMed ID: 16350917
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 24.