BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

255 related articles for article (PubMed ID: 8994156)

  • 21. ROC curves and the areas under them for dichotomized tests: empirical findings for logistically and normally distributed diagnostic test results.
    van der Schouw YT; Straatman H; Verbeek AL
    Med Decis Making; 1994; 14(4):374-81. PubMed ID: 7808212
    [TBL] [Abstract][Full Text] [Related]  

  • 22. The Youden Index in the Generalized Receiver Operating Characteristic Curve Context.
    Martínez-Camblor P; Pardo-Fernández JC
    Int J Biostat; 2019 Apr; 15(1):. PubMed ID: 30943172
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Limitations to the robustness of binormal ROC curves: effects of model misspecification and location of decision thresholds on bias, precision, size and power.
    Walsh SJ
    Stat Med; 1997 Mar; 16(6):669-79. PubMed ID: 9131755
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Transformation-invariant and nonparametric monotone smooth estimation of ROC curves.
    Du P; Tang L
    Stat Med; 2009 Jan; 28(2):349-59. PubMed ID: 18985706
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Equivalence of binormal likelihood-ratio and bi-chi-squared ROC curve models.
    Hillis SL
    Stat Med; 2016 May; 35(12):2031-57. PubMed ID: 26608405
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Proper receiver operating characteristic analysis: the bigamma model.
    Dorfman DD; Berbaum KS; Metz CE; Lenth RV; Hanley JA; Abu Dagga H
    Acad Radiol; 1997 Feb; 4(2):138-49. PubMed ID: 9061087
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Nonparametric and semiparametric group sequential methods for comparing accuracy of diagnostic tests.
    Tang L; Emerson SS; Zhou XH
    Biometrics; 2008 Dec; 64(4):1137-45. PubMed ID: 18371124
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Minimum-norm estimation for binormal receiver operating characteristic (ROC) curves.
    Davidov O; Nov Y
    Biom J; 2009 Dec; 51(6):1030-46. PubMed ID: 19894216
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A non-parametric method for the comparison of partial areas under ROC curves and its application to large health care data sets.
    Zhang DD; Zhou XH; Freeman DH; Freeman JL
    Stat Med; 2002 Mar; 21(5):701-15. PubMed ID: 11870811
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A nonparametric maximum likelihood estimator for the receiver operating characteristic curve area in the presence of verification bias.
    Zhou XH
    Biometrics; 1996 Mar; 52(1):299-305. PubMed ID: 8934599
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Bayesian ROC curve estimation under verification bias.
    Gu J; Ghosal S; Kleiner DE
    Stat Med; 2014 Dec; 33(29):5081-96. PubMed ID: 25269427
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Original smooth receiver operating characteristic curve estimation from continuous data: statistical methods for analyzing the predictive value of spiral CT of ureteral stones.
    Zou KH; Tempany CM; Fielding JR; Silverman SG
    Acad Radiol; 1998 Oct; 5(10):680-7. PubMed ID: 9787838
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Semi-parametric ROC regression analysis with placement values.
    Cai T
    Biostatistics; 2004 Jan; 5(1):45-60. PubMed ID: 14744827
    [TBL] [Abstract][Full Text] [Related]  

  • 34. On the use of partial area under the ROC curve for comparison of two diagnostic tests.
    Ma H; Bandos AI; Gur D
    Biom J; 2015 Mar; 57(2):304-20. PubMed ID: 25537143
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A smooth ROC curve estimator based on log-concave density estimates.
    Rufibach K
    Int J Biostat; 2012; 8(1):. PubMed ID: 22611590
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Monte Carlo validation of the Dorfman-Berbaum-Metz method using normalized pseudovalues and less data-based model simplification.
    Hillis SL; Berbaum KS
    Acad Radiol; 2005 Dec; 12(12):1534-41. PubMed ID: 16321742
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A procedure for determining whether a simple combination of diagnostic tests may be noninferior to the theoretical optimum combination.
    Jin H; Lu Y
    Med Decis Making; 2008; 28(6):909-16. PubMed ID: 18556633
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Parametric estimates for the receiver operating characteristic curve generalization for non-monotone relationships.
    Martínez-Camblor P; Pardo-Fernández JC
    Stat Methods Med Res; 2019 Jul; 28(7):2032-2048. PubMed ID: 29243554
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Coverage and precision of confidence intervals for area under the curve using parametric and non-parametric methods in a toxicokinetic experimental design.
    Bonate PL
    Pharm Res; 1998 Mar; 15(3):405-10. PubMed ID: 9563069
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Verification of modified receiver-operating characteristic software using simulated rating data.
    Shiraishi J; Fukuoka D; Iha R; Inada H; Tanaka R; Hara T
    Radiol Phys Technol; 2018 Dec; 11(4):406-414. PubMed ID: 30244314
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.