title: Notes on the assessment of trend in the presence of nondifferential exposure misclassification.
abstract: Estimation of overall linear trend and statistical tests for trend are commonly applied in epidemiologic studies to evaluate the association between ordinal exposure variables and dichotomous health outcomes. In the discussion of these studies, the assertion is commonly made that the observed trends can only be conservative and reported P-values can only be too high owing to the occurrence of exposure misclassification that is supposed to be nondifferential, that is, unrelated to the health outcome of interest. This paper illustrates that this assertion is not generally justified without additional sensitivity analyses. Overestimation of trends and an erroneous reduction of P-values due to nondifferential exposure misclassification are unlikely, but not impossible, for monotonic exposure-disease associations. These may be common occurrences, however, if the observed exposure-disease association is nonmonotonic.
authors.affiliation: Unit of Epidemiology, University of Ulm, Federal Republic of Germany.
authors.forename: H
authors.initials: H
authors.lastname: Brenner
mesh_terms: D004781:Environmental Exposure / Q000145:classification* / Q000706:statistics & numerical data; D004812:Epidemiologic Methods; D005544:Forecasting; D006801:Humans; D016017:Odds Ratio