A Bayesian framework for estimating the incremental value of a diagnostic test in the absence of a gold standard

BMC Medical Research Methodology

Volumn 14, Issue 1, 2014, Pages

  Ling, Daphne I ^a   Pai, Madhukar ^a   Schiller, Ian ^b   Dendukuri, Nandini ^a,b  

^a MCGILL UNIVERSITY   (Canada)

^b RESEARCH INSTITUTE OF THE MCGILL UNIVERSITY HEALTH CENTRE   (Canada)

Author keywords

Area under the curve; Bayesian estimation; Imperfect diagnostic tests; Incremental value; Informative priors; Integrated discrimination improvement; Latent class models; Tuberculosis

Indexed keywords

GAMMA INTERFERON;

BAYES THEOREM; DIAGNOSTIC TEST; HUMAN; INTERFERON GAMMA RELEASE ASSAY; LATENT TUBERCULOSIS; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; REFERENCE VALUE; SECRETION (PROCESS); SENSITIVITY AND SPECIFICITY; STANDARD; STATISTICAL MODEL; TUBERCULIN TEST;

BAYES THEOREM; DIAGNOSTIC TESTS, ROUTINE; HUMANS; INTERFERON-GAMMA; INTERFERON-GAMMA RELEASE TESTS; LATENT TUBERCULOSIS; MODELS, STATISTICAL; REFERENCE STANDARDS; REFERENCE VALUES; ROC CURVE; SENSITIVITY AND SPECIFICITY; TUBERCULIN TEST;

EID: 84903818841     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/1471-2288-14-67     Document Type: Article

References (37)

1. Test research versus diagnostic research. Moons KG, Biesheuvel CJ, Grobbee DE, Clin Chem 2004 50 3 473 476 (Pubitemid 38297294)
2. Redundancy of single diagnostic test evaluation. Moons KG, Van Es GA, Michel BC, Buller HR, Habbema JD, Grobbee DE, Epidemiology 1999 10 3 276 281 (Pubitemid 29187763)
3. Grading quality of evidence and strength of recommendations for diagnostic tests and strategies. Schunemann HJ, Oxman AD, Brozek J, Glasziou P, Jaeschke R, Vist GE, Williams JW Jr, Kunz R, Craig J, Montori VM, Bossuyt P, Guyatt GH, GRADE Workig Group, BMJ 2008 336 7653 1106 1110 (Pubitemid 351731739)
4. Assessing the performance of prediction models: a framework for traditional and novel measures. Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N, Pencina MJ, Kattan MW, Epidemiology 2010 21 1 128 138
5. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Hanley JA, McNeil BJ, Radiology 1982 143 1 29 36 (Pubitemid 12142173)
6. Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker. Pepe MS, Janes H, Longton G, Leisenring W, Newcomb P, Am J Epidemiol 2004 159 9 882 890 (Pubitemid 38657490)
7. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, Vasan RS, Stat Med 2008 27 2 157 172 discussion 207-212 (Pubitemid 351193639)
8. Comments on 'evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond' by M J Pencina et al. Pepe MS, Feng Z, Gu JW, Stat Med 2008 27 2 173 181 (Pubitemid 351193640)
9. A review of solutions for diagnostic accuracy studies with an imperfect or missing reference standard. Reitsma JB, Rutjes AW, Khan KS, Coomarasamy A, Bossuyt PM, J Clin Epidemiol 2009 62 8 797 806
10. Bayesian estimation of disease prevalence and the parameters of diagnostic tests in the absence of a gold standard. Joseph L, Gyorkos TW, Coupal L, Am J Epidemiol 1995 141 3 263 272
11. Evaluating diagnostic tests for Chlamydia trachomatis in the absence of a gold standard: a comparison of three statistical methods. Dendukuri N, Wang L, Hadgu A, Stat Biopharm Res 2011 3 2 385 397
12. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Pencina MJ, D'Agostino RB Sr, Steyerberg EW, Stat Med 2011 30 1 11 21
13. Consensus statement. global burden of tuberculosis: estimated incidence, prevalence, and mortality by country. WHO Global surveillance and monitoring project. Dye C, Scheele S, Dolin P, Pathania V, Raviglione MC, JAMA 1999 282 7 677 686
14. Tuberculosis infection among young nursing trainees in South India. Christopher DJ, Daley P, Armstrong L, James P, Gupta R, Premkumar B, Michael JS, Radha V, Zwerling A, Schiller I, Dendukuri N, Pai M, PLoS One 2010 5 4 10408
15. Improving the estimation of tuberculosis infection prevalence using T-cell-based assay and mixture models. Pai M, Dendukuri N, Wang L, Joshi R, Kalantri S, Rieder HL, Int J Tuberc Lung Dis 2008 12 8 895 902
16. Meta-analysis: new tests for the diagnosis of latent tuberculosis infection: areas of uncertainty and recommendations for research. Menzies D, Pai M, Comstock G, Ann Intern Med 2007 146 5 340 354 (Pubitemid 351650594)
17. Interferon-gamma assays in the immunodiagnosis of tuberculosis: a systematic review. Pai M, Riley LW, Colford JM Jr, Lancet Infect Dis 2004 4 12 761 776
18. Systematic review: T-cell-based assays for the diagnosis of latent tuberculosis infection: an update. Pai M, Zwerling A, Menzies D, Ann Intern Med 2008 149 3 177 184
19. Evaluation of nucleic acid amplification tests in the absence of a perfect gold-standard test: a review of the statistical and epidemiologic issues. Hadgu A, Dendukuri N, Hilden J, Epidemiology 2005 16 5 604 612 (Pubitemid 41233613)
20. Gelman A, Rubin D, Stern H, Bayesian Data Analysis New York: Chapman and Hall 1995
21. Bayesian approaches to modeling the conditional dependence between multiple diagnostic tests. Dendukuri N, Joseph L, Biometrics 2001 57 1 158 167 (Pubitemid 32200150)
22. Effects of dependent errors in the assessment of diagnostic test performance. Torrance-Rynard VL, Walter SD, Stat Med 1997 16 19 2157 2175 (Pubitemid 27429764)
23. Methodology for the assessment of new dichotomous diagnostic tests. Staquet M, Rozencweig M, Lee YJ, Muggia FM, J Chronic Dis 1981 34 12 599 610 (Pubitemid 12237536)
24. Meta-analysis of the accuracy of two diagnostic tests used in combination: application to the ddimer test and the wells score for the diagnosis of deep vein thrombosis. Novielli N, Sutton AJ, Cooper NJ, Value Health 2013 16 4 619 628
25. False-positive tuberculin skin tests: what is the absolute effect of BCG and non-tuberculous mycobacteria? Farhat M, Greenaway C, Pai M, Menzies D, Int J Tuberc Lung Dis 2006 10 11 1192 1204 (Pubitemid 44713473)
26. Mycobacterium tuberculosis infection in health care workers in rural India: comparison of a whole-blood interferon gamma assay with tuberculin skin testing. Pai M, Gokhale K, Joshi R, Dogra S, Kalantri S, Mendiratta DK, Narang P, Daley CL, Granich RM, Mazurek GH, Reingold AL, Riley LW, Colford JM Jr, JAMA 2005 293 22 2746 2755 (Pubitemid 40973379)
27. The BCG World Atlas: a database of global BCG vaccination policies and practices. Zwerling A, Behr MA, Verma A, Brewer TF, Menzies D, Pai M, PLoS Med 2011 8 3 1001012
28. Tuberculosis screening in Portuguese healthcare workers using the tuberculin skin test and the interferon-gamma release assay. Torres Costa J, Sa R, Cardoso MJ, Silva R, Ferreira J, Ribeiro C, Miranda M, Placido JL, Nienhaus A, Eur Respir J 2009 34 6 1423 1428
29. Guidelines on interferon-gamma release assays for tuberculosis infection: concordance, discordance or confusion? Denkinger CM, Dheda K, Pai M, Clin Microbiol Infect 2011 17 6 806 814
30. Evaluating the incremental value of new biomarkers with integrated discrimination improvement. Kerr KF, McClelland RL, Brown ER, Lumley T, Am J Epidemiol 2011 174 3 364 374
31. Evaluation of screening tests for detecting Chlamydia trachomatis: bias associated with the patient-infected-status algorithm. Hadgu A, Dendukuri N, Wang L, Epidemiology 2012 23 1 72 82
32. A biomedical application of latent class models with random effects. Hadgu A, Qu Y, Appl Stat 1998 47 603 616
33. Bayesian sample size determination for prevalence and diagnostic test studies in the absence of a gold standard test. Dendukuri N, Rahme E, Belisle P, Joseph L, Biometrics 2004 60 2 388 397 (Pubitemid 38780198)
34. Net reclassification indices for evaluating risk prediction instruments: a critical review. Kerr KF, Wang Z, Janes H, McClelland RL, Psaty BM, Pepe MS, Epidemiology 2014 25 1 114 121
35. A note on the evaluation of novel biomarkers: do not rely on integrated discrimation improvement and net reclassification index. Hilden J, Gerds TA, Stat Med 2013 doi:10.1002/sim.5804
36. Interferon-gamma release assays and TB screening in high-income countries: a cost-effectiveness analysis. Oxlade O, Schwartzman K, Menzies D, Int J Tuberc Lung Dis 2007 11 1 16 26 (Pubitemid 46101841)
37. Spiegelhalter D, Abrams K, Myles J, Bayesian Approaches to Clinical Trials and Health Care Evaluation New York: John Wiley and Sons Limited 2004