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Journal Abstract Search

202 related items for PubMed ID: 19101935

  • 1. Estimating diagnostic accuracy of multiple binary tests with an imperfect reference standard.
    Albert PS.
    Stat Med; 2009 Feb 28; 28(5):780-97. PubMed ID: 19101935
    [Abstract] [Full Text] [Related]

  • 2. Estimating diagnostic accuracy of raters without a gold standard by exploiting a group of experts.
    Zhang B, Chen Z, Albert PS.
    Biometrics; 2012 Dec 28; 68(4):1294-302. PubMed ID: 23006010
    [Abstract] [Full Text] [Related]

  • 3. Different latent class models were used and evaluated for assessing the accuracy of campylobacter diagnostic tests: overcoming imperfect reference standards?
    Asselineau J, Paye A, Bessède E, Perez P, Proust-Lima C.
    Epidemiol Infect; 2018 Sep 28; 146(12):1556-1564. PubMed ID: 29945689
    [Abstract] [Full Text] [Related]

  • 4. Bias in estimating accuracy of a binary screening test with differential disease verification.
    Alonzo TA, Brinton JT, Ringham BM, Glueck DH.
    Stat Med; 2011 Jul 10; 30(15):1852-64. PubMed ID: 21495059
    [Abstract] [Full Text] [Related]

  • 5. Comparative diagnostic accuracy studies with an imperfect reference standard - a comparison of correction methods.
    Umemneku Chikere CM, Wilson KJ, Allen AJ, Vale L.
    BMC Med Res Methodol; 2021 Apr 12; 21(1):67. PubMed ID: 33845775
    [Abstract] [Full Text] [Related]

  • 6. Fuzzy gold standards: Approaches to handling an imperfect reference standard.
    Walsh T.
    J Dent; 2018 Jul 12; 74 Suppl 1():S47-S49. PubMed ID: 29929589
    [Abstract] [Full Text] [Related]

  • 7. Gold standards are out and Bayes is in: Implementing the cure for imperfect reference tests in diagnostic accuracy studies.
    Johnson WO, Jones G, Gardner IA.
    Prev Vet Med; 2019 Jun 01; 167():113-127. PubMed ID: 31027713
    [Abstract] [Full Text] [Related]

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  • 9. Bias due to composite reference standards in diagnostic accuracy studies.
    Schiller I, van Smeden M, Hadgu A, Libman M, Reitsma JB, Dendukuri N.
    Stat Med; 2016 Apr 30; 35(9):1454-70. PubMed ID: 26555849
    [Abstract] [Full Text] [Related]

  • 10. Nonparametric estimation of ROC curves in the absence of a gold standard.
    Zhou XH, Castelluccio P, Zhou C.
    Biometrics; 2005 Jun 30; 61(2):600-9. PubMed ID: 16011710
    [Abstract] [Full Text] [Related]

  • 11. Bayesian meta-analysis of diagnostic tests allowing for imperfect reference standards.
    Menten J, Boelaert M, Lesaffre E.
    Stat Med; 2013 Dec 30; 32(30):5398-413. PubMed ID: 24003003
    [Abstract] [Full Text] [Related]

  • 12. Using a combination of reference tests to assess the accuracy of a new diagnostic test.
    Alonzo TA, Pepe MS.
    Stat Med; 1999 Nov 30; 18(22):2987-3003. PubMed ID: 10544302
    [Abstract] [Full Text] [Related]

  • 13. Estimation of sensitivity and specificity of diagnostic tests and disease prevalence when the true disease state is unknown.
    Enøe C, Georgiadis MP, Johnson WO.
    Prev Vet Med; 2000 May 30; 45(1-2):61-81. PubMed ID: 10802334
    [Abstract] [Full Text] [Related]

  • 14. A sequential classification rule based on multiple quantitative tests in the absence of a gold standard.
    Zhang J, Zhang Y, Chaloner K, Stapleton JT.
    Stat Med; 2016 Apr 15; 35(8):1359-72. PubMed ID: 26522690
    [Abstract] [Full Text] [Related]

  • 15. Effect of dependent errors in the assessment of diagnostic or screening test accuracy when the reference standard is imperfect.
    Walter SD, Macaskill P, Lord SJ, Irwig L.
    Stat Med; 2012 May 20; 31(11-12):1129-38. PubMed ID: 22351623
    [Abstract] [Full Text] [Related]

  • 16. Evaluating diagnostic tests with imperfect standards.
    Valenstein PN.
    Am J Clin Pathol; 1990 Feb 20; 93(2):252-8. PubMed ID: 2405632
    [Abstract] [Full Text] [Related]

  • 17. Evaluation of diagnostic tests when there is no gold standard. A review of methods.
    Rutjes AW, Reitsma JB, Coomarasamy A, Khan KS, Bossuyt PM.
    Health Technol Assess; 2007 Dec 20; 11(50):iii, ix-51. PubMed ID: 18021577
    [Abstract] [Full Text] [Related]

  • 18. Extending Hui-Walter framework to correlated outcomes with application to diagnosis tests of an eye disease among premature infants.
    Liu YL, Ying GS, Quinn GE, Zhou XH, Chen Y.
    Stat Med; 2022 Feb 10; 41(3):433-448. PubMed ID: 34859902
    [Abstract] [Full Text] [Related]

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  • 20. A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard.
    Liu Y, Chen Y, Chu H.
    Biometrics; 2015 Jun 10; 71(2):538-47. PubMed ID: 25358907
    [Abstract] [Full Text] [Related]

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