title: A Bayesian approach to strengthen inference for case-control studies with multiple error-prone exposure assessments.
abstract: In case-control studies, exposure assessments are almost always error-prone. In the absence of a gold standard, two or more assessment approaches are often used to classify people with respect to exposure. Each imperfect assessment tool may lead to misclassification of exposure assignment; the exposure misclassification may be differential with respect to case status or not; and, the errors in exposure classification under the different approaches may be independent (conditional upon the true exposure status) or not. Although methods have been proposed to study diagnostic accuracy in the absence of a gold standard, these methods are infrequently used in case-control studies to correct exposure misclassification that is simultaneously differential and dependent. In this paper, we proposed a Bayesian method to estimate the measurement-error corrected exposure-disease association, accounting for both differential and dependent misclassification. The performance of the proposed method is investigated using simulations, which show that the proposed approach works well, as well as an application to a case-control study assessing the association between asbestos exposure and mesothelioma.
authors: Division of Biostatistics, University of Minnesota School of Public Health, Minneapolis, MN 55455 USA.
authors: Jing
authors: J
authors: Zhang
authors: Stephen R
authors: SR
authors: Cole
authors: David B
authors: DB
authors: Richardson
authors: Haitao
authors: H
authors: Chu
mesh_terms: D001194:Asbestos / Q000009:adverse effects*; D001499:Bayes Theorem; D015982:Bias; D016022:Case-Control Studies; D003627:Data Interpretation, Statistical; D006801:Humans; D016013:Likelihood Functions; D016014:Linear Models; D008654:Mesothelioma / Q000209:etiology*; D016273:Occupational Exposure / Q000009:adverse effects* / Q000706:statistics & numerical data; D011336:Probability; D012044:Regression Analysis
chemical_list: D001194:Asbestos
keywords: case-control study; dependent; differential; gold standard; misclassification
references: Biostatistics. 2009 Oct;10(4):591-602
references: 19515637
references: Am J Epidemiol. 1991 Nov 15;134(10):1233-44
references: 1746532
references: Biometrics. 1989 Jun;45(2):587-99
references: 2765639
references: Stat Med. 1997 Oct 15;16(19):2157-75
references: 9330426
references: Scand J Work Environ Health. 1982 Mar;8(1):24-8
references: 7134919
references: Int J Hyg Environ Health. 2009 Jul;212(4):398-413
references: 18977171
references: Biometrics. 1985 Dec;41(4):959-68
references: 3830260
references: Epidemiology. 2003 Sep;14(5):585-92
references: 14501274
references: Occup Environ Med. 1999 Mar;56(3):145-51
references: 10448321
references: Am J Epidemiol. 1992 Sep 15;136(6):698-711
references: 1442736
references: Biometrics. 1997 Sep;53(3):948-58
references: 9290225
references: Am J Ind Med. 2005 May;47(5):443-50
references: 15828074
references: Int J Epidemiol. 2006 Aug;35(4):1074-81
references: 16709616
references: Genet Epidemiol. 2007 Feb;31(2):143-53
references: 17187401
references: Biometrics. 1996 Sep;52(3):797-810
references: 8805757
references: Biometrics. 1980 Mar;36(1):167-71
references: 7370371
references: Biometrics. 2001 Mar;57(1):158-67
references: 11252592
references: Biometrics. 2010 Sep;66(3):855-63
references: 19764953
references: Am J Ind Med. 2003 May;43(5):519-22
references: 12704624
references: Biometrics. 2009 Dec;65(4):1145-55
references: 19210729
references: Biometrics. 2004 Jun;60(2):427-35
references: 15180668
references: Rev Saude Publica. 2000 Oct;34(5):522-8
references: 11105117