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Journal Abstract Search

271 related items for PubMed ID: 15795013

  • 21. Modeling conditional dependence between diagnostic tests: a multiple latent variable model.
    Dendukuri N, Hadgu A, Wang L.
    Stat Med; 2009 Feb 01; 28(3):441-61. PubMed ID: 19067379
    [Abstract] [Full Text] [Related]

  • 22. [Methods of investigation in clinical cardiology. X. Studies on the evaluation of diagnostic tests in cardiology].
    Cabello López JB, Pozo Rodríguez P.
    Rev Esp Cardiol; 1997 Jul 01; 50(7):507-19. PubMed ID: 9304178
    [Abstract] [Full Text] [Related]

  • 23. Nonparametric estimation of ROC curves in the absence of a gold standard.
    Zhou XH, Castelluccio P, Zhou C.
    Biometrics; 2005 Jun 01; 61(2):600-9. PubMed ID: 16011710
    [Abstract] [Full Text] [Related]

  • 24. Bayes and diagnostic testing.
    Lesaffre E, Speybroeck N, Berkvens D.
    Vet Parasitol; 2007 Aug 19; 148(1):58-61. PubMed ID: 17566663
    [Abstract] [Full Text] [Related]

  • 25. Sample size calculations for evaluating a diagnostic test when the gold standard is missing at random.
    Kosinski AS, Chen Y, Lyles RH.
    Stat Med; 2010 Jul 10; 29(15):1572-9. PubMed ID: 20552570
    [Abstract] [Full Text] [Related]

  • 26. Bayesian sample size determination for prevalence and diagnostic test studies in the absence of a gold standard test.
    Dendukuri N, Rahme E, Bélisle P, Joseph L.
    Biometrics; 2004 Jun 10; 60(2):388-97. PubMed ID: 15180664
    [Abstract] [Full Text] [Related]

  • 27. A sequential design to estimate sensitivity and specificity of a diagnostic or screening test.
    Wruck LM, Yiannoutsos CT, Hughes MD.
    Stat Med; 2006 Oct 30; 25(20):3458-73. PubMed ID: 16374904
    [Abstract] [Full Text] [Related]

  • 28. Problems in detecting misfit of latent class models in diagnostic research without a gold standard were shown.
    van Smeden M, Oberski DL, Reitsma JB, Vermunt JK, Moons KG, de Groot JA.
    J Clin Epidemiol; 2016 Jun 30; 74():158-66. PubMed ID: 26628335
    [Abstract] [Full Text] [Related]

  • 29. Assessing the convergence of Markov Chain Monte Carlo methods: an example from evaluation of diagnostic tests in absence of a gold standard.
    Toft N, Innocent GT, Gettinby G, Reid SW.
    Prev Vet Med; 2007 May 16; 79(2-4):244-56. PubMed ID: 17292499
    [Abstract] [Full Text] [Related]

  • 30. Using and interpreting diagnostic tests.
    McKenna SL, Dohoo IR.
    Vet Clin North Am Food Anim Pract; 2006 Mar 16; 22(1):195-205. PubMed ID: 16517302
    [Abstract] [Full Text] [Related]

  • 31. Evaluating accuracy of diagnostic tests with intermediate results in the absence of a gold standard.
    Xu H, Black MA, Craig BA.
    Stat Med; 2013 Jul 10; 32(15):2571-84. PubMed ID: 23212851
    [Abstract] [Full Text] [Related]

  • 32. Some issues in resolution of diagnostic tests using an imperfect gold standard.
    Hawkins DM, Garrett JA, Stephenson B.
    Stat Med; 2001 Jul 15; 20(13):1987-2001. PubMed ID: 11427955
    [Abstract] [Full Text] [Related]

  • 33. Incorporating the sampling variation of the disease prevalence when calculating the sample size in a study to determine the diagnostic accuracy of a test.
    Yi Q, Panzarella T, Corey P.
    Control Clin Trials; 2004 Aug 15; 25(4):417-27. PubMed ID: 15296816
    [Abstract] [Full Text] [Related]

  • 34. Estimating disease prevalence in the absence of a gold standard.
    Black MA, Craig BA.
    Stat Med; 2002 Sep 30; 21(18):2653-69. PubMed ID: 12228883
    [Abstract] [Full Text] [Related]

  • 35. Robustness of a parametric model for informatively censored bivariate longitudinal data under misspecification of its distributional assumptions: A simulation study.
    Pantazis N, Touloumi G.
    Stat Med; 2007 Dec 30; 26(30):5473-85. PubMed ID: 18058854
    [Abstract] [Full Text] [Related]

  • 36. Estimating sensitivity and specificity of diagnostic tests using latent class models that account for conditional dependence between tests: a simulation study.
    Keddie SH, Baerenbold O, Keogh RH, Bradley J.
    BMC Med Res Methodol; 2023 Mar 10; 23(1):58. PubMed ID: 36894883
    [Abstract] [Full Text] [Related]

  • 37. Comparison of weighted kappa coefficients of multiple binary diagnostic tests done on the same subjects.
    Roldán Nofuentes JA, Luna del Castillo JD.
    Stat Med; 2010 Sep 10; 29(20):2149-65. PubMed ID: 20809538
    [Abstract] [Full Text] [Related]

  • 38. Designing 2-phase prevalence studies in the absence of a "gold standard" test.
    Salim A, Welsh AH.
    Am J Epidemiol; 2009 Aug 01; 170(3):369-78. PubMed ID: 19505999
    [Abstract] [Full Text] [Related]

  • 39. Statistical methods for the meta-analysis of diagnostic tests must take into account the use of surrogate standards.
    Kang J, Brant R, Ghali WA.
    J Clin Epidemiol; 2013 May 01; 66(5):566-574.e1. PubMed ID: 23466018
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  • 40. Adjusting for verification bias in diagnostic test evaluation: a Bayesian approach.
    Buzoianu M, Kadane JB.
    Stat Med; 2008 Jun 15; 27(13):2453-73. PubMed ID: 17979150
    [Abstract] [Full Text] [Related]

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