Accounting for error due to misclassification of exposures in case–control studies of gene–environment interaction
dc.contributor.author | Zhang, Li | en_US |
dc.contributor.author | Mukherjee, Bhramar | en_US |
dc.contributor.author | Ghosh, Malay | en_US |
dc.contributor.author | Gruber, Stephen B. | en_US |
dc.contributor.author | Moreno, Victor | en_US |
dc.date.accessioned | 2008-06-04T14:38:05Z | |
dc.date.available | 2009-08-12T18:32:18Z | en_US |
dc.date.issued | 2008-07-10 | en_US |
dc.identifier.citation | Zhang, Li; Mukherjee, Bhramar; Ghosh, Malay; Gruber, Stephen; Moreno, Victor (2008). "Accounting for error due to misclassification of exposures in case–control studies of gene–environment interaction." Statistics in Medicine 27(15): 2756-2783. <http://hdl.handle.net/2027.42/58640> | en_US |
dc.identifier.issn | 0277-6715 | en_US |
dc.identifier.issn | 1097-0258 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/58640 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=17879261&dopt=citation | en_US |
dc.description.abstract | We consider analysis of data from an unmatched case–control study design with a binary genetic factor and a binary environmental exposure when both genetic and environmental exposures could be potentially misclassified. We devise an estimation strategy that corrects for misclassification errors and also exploits the gene–environment independence assumption. The proposed corrected point estimates and confidence intervals for misclassified data reduce back to standard analytical forms as the misclassification error rates go to zero. We illustrate the methods by simulating unmatched case–control data sets under varying levels of disease–exposure association and with different degrees of misclassification. A real data set on a case–control study of colorectal cancer where a validation subsample is available for assessing genotyping error is used to illustrate our methods. Copyright © 2007 John Wiley & Sons, Ltd. | en_US |
dc.format.extent | 223060 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | John Wiley & Sons, Ltd. | en_US |
dc.subject.other | Mathematics and Statistics | en_US |
dc.title | Accounting for error due to misclassification of exposures in case–control studies of gene–environment interaction | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Medicine (General) | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Biostatistics, University of Michigan, Ann Arbor, MI-48109, U.S.A. ; Department of Biostatistics, University of Michigan, Ann Arbor, MI-48109, U.S.A. | en_US |
dc.contributor.affiliationum | Department of Internal Medicine, Epidemiology and Human Genetics, University of Michigan, Ann Arbor, MI-48109, U.S.A. | en_US |
dc.contributor.affiliationum | Department of Internal Medicine and Epidemiology, University of Michigan, Ann Arbor, MI-48109, U.S.A. ; IDIBELL, Catalan Institute of Oncology, L'Hospitalet Barcelona, Spain | en_US |
dc.contributor.affiliationother | Department of Quantitative Health Sciences, The Cleveland Clinic Foundation, Cleveland, OH-44195, U.S.A. | en_US |
dc.contributor.affiliationother | Department of Statistics, University of Florida, Gainesville, FL-32611, U.S.A. | en_US |
dc.identifier.pmid | 17879261 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/58640/1/3044_ftp.pdf | |
dc.identifier.doi | http://dx.doi.org/10.1002/sim.3044 | en_US |
dc.identifier.source | Statistics in Medicine | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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