© 1984 Oxford University Press
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Methodological Issues in Case-Control Studies III:The Effect of Joint Misclassification of Risk Factors and Confounding Factors upon Estimation and Power

*Department of Mathematics, University of Windsor Windsor, Ontario, Canada
**NCIC Epidemiology Unit, Faculty of Medicine, McMurrich Building, University of Toronto Toronto, Canada M5S 1A8
Requests for reprints should be addressed to G. R. Howe.
The effect of joint misclassification of polytomous risk factors and polytomous covariates in case-control studies upon estimation and power has been examined using computer simulation and mathematical models. It is concluded that non-differential misclassification of covariates may be as important as non-differential misclassification of exposure variables, and that the resultant bias of the relative risk estimate may be either toward or away from the null. It is pointed out that when a confounding variable is misclassified the calculated p value from the particular study will be incorrect and may either be too large or too small depending on the nature of the confounding.
Received 1 September 1983
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