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Journal Abstract Search
228 related items for PubMed ID: 23212851
1. 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]
2. A probit latent class model with general correlation structures for evaluating accuracy of diagnostic tests. Xu H, Craig BA. Biometrics; 2009 Dec 10; 65(4):1145-55. PubMed ID: 19210729 [Abstract] [Full Text] [Related]
4. When do latent class models overstate accuracy for diagnostic and other classifiers in the absence of a gold standard? Spencer BD. Biometrics; 2012 Jun 10; 68(2):559-66. PubMed ID: 22017371 [Abstract] [Full Text] [Related]
5. 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]
6. Using extended Rasch models to assess validity of diagnostic tests in the presence of a reference standard. Viallon V, Ecosse E, Mesbah M, Pouchot J, Coste J. J Appl Meas; 2012 Sep 30; 13(4):376-93. PubMed ID: 23270981 [Abstract] [Full Text] [Related]
7. 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]
8. 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]
9. The Biplot as a diagnostic tool of local dependence in latent class models. A medical application. Sepúlveda R, Vicente-Villardón JL, Galindo MP. Stat Med; 2008 May 20; 27(11):1855-69. PubMed ID: 18265437 [Abstract] [Full Text] [Related]
10. 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 20; 74():158-66. PubMed ID: 26628335 [Abstract] [Full Text] [Related]
11. Nonparametric estimation of ROC curves in the absence of a gold standard. Zhou XH, Castelluccio P, Zhou C. Biometrics; 2005 Jun 20; 61(2):600-9. PubMed ID: 16011710 [Abstract] [Full Text] [Related]
12. 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]
13. Non-inferiority and superiority tests for partially matched data when a constraint is placed on the number of new tests. van de Ven PM, Berkhof J. Stat Med; 2013 Jul 10; 32(15):2515-28. PubMed ID: 23203862 [Abstract] [Full Text] [Related]
14. 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]
19. Bayesian estimation of the receiver operating characteristic curve for a diagnostic test with a limit of detection in the absence of a gold standard. Jafarzadeh SR, Johnson WO, Utts JM, Gardner IA. Stat Med; 2010 Sep 10; 29(20):2090-106. PubMed ID: 20603894 [Abstract] [Full Text] [Related]
20. Latent variable modeling of diagnostic accuracy. Yang I, Becker MP. Biometrics; 1997 Sep 10; 53(3):948-58. PubMed ID: 9290225 [Abstract] [Full Text] [Related] Page: [Next] [New Search]