These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

211 related articles for article (PubMed ID: 33826452)

  • 41. Bootstrap-based testing approaches for the assessment of the diagnostic accuracy of biomarkers subject to a limit of detection.
    Franco-Pereira AM; Nakas CT; Leichtle AB; Pardo MC
    Stat Methods Med Res; 2019 May; 28(5):1564-1578. PubMed ID: 29635975
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Conditional estimation after a two-stage diagnostic biomarker study that allows early termination for futility.
    Koopmeiners JS; Feng Z; Pepe MS
    Stat Med; 2012 Feb; 31(5):420-35. PubMed ID: 22238117
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Bayesian bootstrap estimation of ROC curve.
    Gu J; Ghosal S; Roy A
    Stat Med; 2008 Nov; 27(26):5407-20. PubMed ID: 18613217
    [TBL] [Abstract][Full Text] [Related]  

  • 44. The ROC curve for regularly measured longitudinal biomarkers.
    Michael H; Tian L; Ghebremichael M
    Biostatistics; 2019 Jul; 20(3):433-451. PubMed ID: 29608649
    [TBL] [Abstract][Full Text] [Related]  

  • 45. A conditional nonparametric test for comparing two areas under the ROC curves from a paired design.
    Bandos AI; Rockette HE; Gur D
    Acad Radiol; 2005 Mar; 12(3):291-7. PubMed ID: 15766688
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Significance tests for covariates in the diagnostic accuracy index of a biomarker against a continuous gold standard.
    Wu M; Sun X; Liu A; Peng C; Li Z
    Stat Med; 2023 Sep; 42(22):4015-4027. PubMed ID: 37455675
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Novel tests for evaluating two ROC curves under paired samples.
    Hwang YT; Wang CC
    J Biopharm Stat; 2018; 28(3):501-517. PubMed ID: 28541824
    [TBL] [Abstract][Full Text] [Related]  

  • 48. The area under the generalized receiver-operating characteristic curve.
    Martínez-Camblor P; Pérez-Fernández S; Díaz-Coto S
    Int J Biostat; 2021 Mar; 18(1):293-306. PubMed ID: 33761578
    [TBL] [Abstract][Full Text] [Related]  

  • 49. A simple method to estimate the time-dependent receiver operating characteristic curve and the area under the curve with right censored data.
    Li L; Greene T; Hu B
    Stat Methods Med Res; 2018 Aug; 27(8):2264-2278. PubMed ID: 27895266
    [TBL] [Abstract][Full Text] [Related]  

  • 50. 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]  

  • 51. A permutation test to compare receiver operating characteristic curves.
    Venkatraman ES
    Biometrics; 2000 Dec; 56(4):1134-8. PubMed ID: 11129471
    [TBL] [Abstract][Full Text] [Related]  

  • 52. 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]  

  • 53. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.
    DeLong ER; DeLong DM; Clarke-Pearson DL
    Biometrics; 1988 Sep; 44(3):837-45. PubMed ID: 3203132
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Generalized ROC curve inference for a biomarker subject to a limit of detection and measurement error.
    Perkins NJ; Schisterman EF; Vexler A
    Stat Med; 2009 Jun; 28(13):1841-60. PubMed ID: 19340817
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Small area estimation of receiver operating characteristic curves for ordinal data under stochastic ordering.
    Jang EJ; Nandram B; Ko Y; Kim DH
    Stat Med; 2020 May; 39(10):1514-1528. PubMed ID: 32017182
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Copula modeling of receiver operating characteristic and predictiveness curves.
    Escarela G; Rodríguez CE; Núñez-Antonio G
    Stat Med; 2020 Dec; 39(28):4252-4266. PubMed ID: 32929756
    [TBL] [Abstract][Full Text] [Related]  

  • 57. A comparison of confidence/credible interval methods for the area under the ROC curve for continuous diagnostic tests with small sample size.
    Feng D; Cortese G; Baumgartner R
    Stat Methods Med Res; 2017 Dec; 26(6):2603-2621. PubMed ID: 26323286
    [TBL] [Abstract][Full Text] [Related]  

  • 58. 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]  

  • 59. On estimating the area under the ROC curve in ranked set sampling.
    Mahdizadeh M; Zamanzade E
    Stat Methods Med Res; 2022 Aug; 31(8):1500-1514. PubMed ID: 35549545
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Efficient nonparametric confidence bands for receiver operating-characteristic curves.
    Martínez-Camblor P; Pérez-Fernández S; Corral N
    Stat Methods Med Res; 2018 Jun; 27(6):1892-1908. PubMed ID: 29767589
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.