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Journal Abstract Search

190 related items for PubMed ID: 36894883

  • 1. 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]

  • 2. Evaluation of tuberculosis diagnostic test accuracy using Bayesian latent class analysis in the presence of conditional dependence between the diagnostic tests used in a community-based tuberculosis screening study.
    Keter AK, Lynen L, Van Heerden A, Wong E, Reither K, Goetghebeur E, Jacobs BKM.
    PLoS One; 2023 Mar 10; 18(3):e0282417. PubMed ID: 36862729
    [Abstract] [Full Text] [Related]

  • 3. Bayesian hierarchical latent class models for estimating diagnostic accuracy.
    Wang C, Lin X, Nelson KP.
    Stat Methods Med Res; 2020 Apr 10; 29(4):1112-1128. PubMed ID: 31146651
    [Abstract] [Full Text] [Related]

  • 4. On the robustness of latent class models for diagnostic testing with no gold standard.
    Schofield MR, Maze MJ, Crump JA, Rubach MP, Galloway R, Sharples KJ.
    Stat Med; 2021 Sep 30; 40(22):4751-4763. PubMed ID: 33990992
    [Abstract] [Full Text] [Related]

  • 5. Using pseudogold standards and latent-class analysis in combination to evaluate the accuracy of three diagnostic tests.
    Nérette P, Stryhn H, Dohoo I, Hammell L.
    Prev Vet Med; 2008 Jul 15; 85(3-4):207-25. PubMed ID: 18355935
    [Abstract] [Full Text] [Related]

  • 6. Bayesian latent class models with conditionally dependent diagnostic tests: a case study.
    Menten J, Boelaert M, Lesaffre E.
    Stat Med; 2008 Sep 30; 27(22):4469-88. PubMed ID: 18551515
    [Abstract] [Full Text] [Related]

  • 7. Simultaneous alleviation of verification and reference standard biases in a community-based tuberculosis screening study using Bayesian latent class analysis.
    Keter AK, Vanobberghen F, Lynen L, Van Heerden A, Fehr J, Olivier S, Wong EB, Glass TR, Reither K, Goetghebeur E, Jacobs BKM.
    PLoS One; 2024 Sep 30; 19(6):e0305126. PubMed ID: 38857227
    [Abstract] [Full Text] [Related]

  • 8. 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]

  • 9. 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 01; 146(12):1556-1564. PubMed ID: 29945689
    [Abstract] [Full Text] [Related]

  • 10. Evaluation of Bayesian Hui-Walter and logistic regression latent class models to estimate diagnostic test characteristics with simulated data.
    Ni H, Koop G, Klugkist I, Nielen M.
    Prev Vet Med; 2023 Aug 01; 217():105972. PubMed ID: 37499309
    [Abstract] [Full Text] [Related]

  • 11. Implications of covariate induced test dependence on the diagnostic accuracy of latent class analysis in pulmonary tuberculosis.
    Keter AK, Lynen L, Van Heerden A, Goetghebeur E, Jacobs BKM.
    J Clin Tuberc Other Mycobact Dis; 2022 Dec 01; 29():100331. PubMed ID: 36111071
    [Abstract] [Full Text] [Related]

  • 12. Defining the true sensitivity of culture for the diagnosis of melioidosis using Bayesian latent class models.
    Limmathurotsakul D, Jamsen K, Arayawichanont A, Simpson JA, White LJ, Lee SJ, Wuthiekanun V, Chantratita N, Cheng A, Day NP, Verzilli C, Peacock SJ.
    PLoS One; 2010 Aug 30; 5(8):e12485. PubMed ID: 20830194
    [Abstract] [Full Text] [Related]

  • 13. Diagnosing diagnostic tests: evaluating the assumptions underlying the estimation of sensitivity and specificity in the absence of a gold standard.
    Toft N, Jørgensen E, Højsgaard S.
    Prev Vet Med; 2005 Apr 30; 68(1):19-33. PubMed ID: 15795013
    [Abstract] [Full Text] [Related]

  • 14. 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]

  • 15. Estimation of diagnostic accuracy of a combination of continuous biomarkers allowing for conditional dependence between the biomarkers and the imperfect reference-test.
    García Barrado L, Coart E, Burzykowski T.
    Biometrics; 2017 Jun 30; 73(2):646-655. PubMed ID: 27598904
    [Abstract] [Full Text] [Related]

  • 16. A cautionary note on the robustness of latent class models for estimating diagnostic error without a gold standard.
    Albert PS, Dodd LE.
    Biometrics; 2004 Jun 30; 60(2):427-35. PubMed ID: 15180668
    [Abstract] [Full Text] [Related]

  • 17. Random effects models in latent class analysis for evaluating accuracy of diagnostic tests.
    Qu Y, Tan M, Kutner MH.
    Biometrics; 1996 Sep 30; 52(3):797-810. PubMed ID: 8805757
    [Abstract] [Full Text] [Related]

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  • 19. Modeling conditional dependence among multiple diagnostic tests.
    Wang Z, Dendukuri N, Zar HJ, Joseph L.
    Stat Med; 2017 Dec 30; 36(30):4843-4859. PubMed ID: 28875512
    [Abstract] [Full Text] [Related]

  • 20. Latent class models for Echinococcus multilocularis diagnosis in foxes in Switzerland in the absence of a gold standard.
    Otero-Abad B, Armua-Fernandez MT, Deplazes P, Torgerson PR, Hartnack S.
    Parasit Vectors; 2017 Dec 19; 10(1):612. PubMed ID: 29258612
    [Abstract] [Full Text] [Related]

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