The effects of joint misclassification of exposure and disease on the attributable risk.
While there is extensive methodological literature analysing the effects of misclassification on the relative risk under various misclassification scenarios, for the attributable risk only the effects of non-differential misclassification either of exposure or disease, and the effects of non-differential independent misclassification of exposure and disease have been discussed for the 2 x 2-situation. The paper investigates the effects of non-differential correlated misclassification of exposure and disease on the attributable risk taking possible correlations of both types of misclassification into account. Furthermore, a comparison with the corresponding effects on the relative risk is drawn. We propose a matrix-based approach to describe the underlying structure of non-differential misclassification. The bias arising from non-differential misclassification in the attributable risk and relative risk is evaluated in four examples assuming under- or overreporting of exposure and disease. In each of the four examples we found scenarios where pronounced differences in degree and, more importantly, in direction of bias occurred. Our results clearly demonstrate the danger lying in the stereotype transfer of findings regarding misclassification effects on the relative risk to other epidemiologic risk measures and underline the necessity of specific analyses of the effects of misclassification on the attributable risk.
Vogel
C
C
Department of Medical Informatics, Biometry and Epidemiology, University of Erlangen-Nuremberg, Germany.
Brenner
H
H
Pfahlberg
A
A
Gefeller
O
O
D015982:Bias; D004194:Disease / Q000209:etiology*; D004812:Epidemiologic Methods; D005858:Germany; D006801:Humans; D018570:Risk Assessment / Q000145:classification* / Q000706:statistics & numerical data