BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

136 related articles for article (PubMed ID: 11084706)

  • 1. Diagnostic test analyses in search of their gold standard: latent class analyses with random effects.
    Goetghebeur E; Liinev J; Boelaert M; Van der Stuyft P
    Stat Methods Med Res; 2000 Jun; 9(3):231-48. PubMed ID: 11084706
    [TBL] [Abstract][Full Text] [Related]  

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

  • 3. LATENT CLASS ANALYSIS IN DIAGNOSTIC TESTS EVALUATION FOR CANINE LEISHMANIA INFANTUM INFECTION.
    Chaouch M; Adams ER; Driss M; Ben Abderrazak S
    Arch Inst Pasteur Tunis; 2014; 91(1-4):51-5. PubMed ID: 26402970
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Latent class analysis of diagnostic tests for visceral leishmaniasis in Brazil.
    Machado de Assis TS; Rabello A; Werneck GL
    Trop Med Int Health; 2012 Oct; 17(10):1202-7. PubMed ID: 22897740
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimation of infection prevalence and sensitivity in a stratified two-stage sampling design employing highly specific diagnostic tests when there is no gold standard.
    Miller E; Huppert A; Novikov I; Warburg A; Hailu A; Abbasi I; Freedman LS
    Stat Med; 2015 Nov; 34(25):3349-61. PubMed ID: 26033190
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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; 60(2):427-35. PubMed ID: 15180668
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Insights into latent class analysis of diagnostic test performance.
    Pepe MS; Janes H
    Biostatistics; 2007 Apr; 8(2):474-84. PubMed ID: 17085745
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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; 146(12):1556-1564. PubMed ID: 29945689
    [TBL] [Abstract][Full Text] [Related]  

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

  • 10. A comparative study of the effectiveness of diagnostic tests for visceral leishmaniasis.
    Boelaert M; Rijal S; Regmi S; Singh R; Karki B; Jacquet D; Chappuis F; Campino L; Desjeux P; Le Ray D; Koirala S; Van der Stuyft P
    Am J Trop Med Hyg; 2004 Jan; 70(1):72-7. PubMed ID: 14971701
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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; 85(3-4):207-25. PubMed ID: 18355935
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 74():158-66. PubMed ID: 26628335
    [TBL] [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; 68(1):19-33. PubMed ID: 15795013
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Effects of dependent errors in the assessment of diagnostic test performance.
    Torrance-Rynard VL; Walter SD
    Stat Med; 1997 Oct; 16(19):2157-75. PubMed ID: 9330426
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The use of latent class analysis to estimate the sensitivities and specificities of diagnostic tests for Squash vein yellowing virus in cucurbit species when there is no gold standard.
    Turechek WW; Webster CG; Duan J; Roberts PD; Kousik CS; Adkins S
    Phytopathology; 2013 Dec; 103(12):1243-51. PubMed ID: 23883156
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Performance of Alere™ immunochromathographic test for the diagnosis of canine visceral leishmaniasis.
    Souza Filho JA; Barbosa JR; Figueiredo FB; Mendes AA; Silva SR; Coelho GL; Marcelino AP
    Vet Parasitol; 2016 Jul; 225():114-6. PubMed ID: 27369585
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Adjusting for differential-verification bias in diagnostic-accuracy studies: a Bayesian approach.
    de Groot JA; Dendukuri N; Janssen KJ; Reitsma JB; Bossuyt PM; Moons KG
    Epidemiology; 2011 Mar; 22(2):234-41. PubMed ID: 21228702
    [TBL] [Abstract][Full Text] [Related]  

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

  • 19. Performance of a real time PCR for leishmaniasis diagnosis using a L. (L.) infantum hypothetical protein as target in canine samples.
    Colombo FA; Pereira-Chioccola VL; Meira Cda S; Motoie G; Gava R; Hiramoto RM; de Almeida ME; da Silva AJ; Cutolo AA; Menz I
    Exp Parasitol; 2015 Oct; 157():156-62. PubMed ID: 26297683
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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; 11(50):iii, ix-51. PubMed ID: 18021577
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.