Invited commentary: Fewell and colleagues - Fuel for debate

Abstract

Concern over the impact of flawed measurement continues to nag epidemiology. Early studies indicated that the impact of measurement error is benign, leading generally only to attenuation of associations; more recent research has documented that this impact, especially within the setting of multivariate modeling, cannot be expected always to be benign. It can, for example, be a source of unsettling inconsistency. Fewell and colleagues (Am J Epidemiol 2007;166:646-655) show that residual confounding is especially persistent in the presence of multivariate confounding. © The Author 2007. Published by the Johns Hopkins Bloomberg School of Public Health. All rights reserved.