Ontology highlight
ABSTRACT:
SUBMITTER: Ogburn EL
PROVIDER: S-EPMC3365922 | biostudies-literature | 2012 May
REPOSITORIES: biostudies-literature
Ogburn Elizabeth L EL VanderWeele Tyler J TJ
Epidemiology (Cambridge, Mass.) 20120501 3
Consider a study with binary exposure, outcome, and confounder, where the confounder is nondifferentially misclassified. Epidemiologists have long accepted the unproven but oft-cited result that, if the confounder is binary, then odds ratios, risk ratios, and risk differences that control for the mismeasured confounder will lie between the crude and the true measures. In this paper, we provide an analytic proof of the result in the absence of a qualitative interaction between treatment and confo ...[more]