Abstract:
:Consider case control analysis with a dichotomous exposure variable that is subject to misclassification. If the classification probabilities are known, then methods are available to adjust odds-ratio estimates in light of the misclassification. We study the realistic scenario where reasonable guesses, but not exact values, are available for the classification probabilities. If the analysis proceeds by simply treating the guesses as exact, then even small discrepancies between the guesses and the actual probabilities can seriously degrade odds-ratio estimates. We show that this problem is mitigated by a Bayes analysis that incorporates uncertainty about the classification probabilities as prior information.
journal_name
Biometricsjournal_title
Biometricsauthors
Gustafson P,Le ND,Saskin Rdoi
10.1111/j.0006-341x.2001.00598.xsubject
Has Abstractpub_date
2001-06-01 00:00:00pages
598-609issue
2eissn
0006-341Xissn
1541-0420journal_volume
57pub_type
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