| Literature DB >> 1391134 |
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.Mesh:
Year: 1992 PMID: 1391134 DOI: 10.1097/00001648-199209000-00007
Source DB: PubMed Journal: Epidemiology ISSN: 1044-3983 Impact factor: 4.822