Bias correction by use of errors-in-variables regression models in studies with K-X-ray fluorescence bone lead measurements.

ABSTRACT: In-vivo measurement of bone lead by means of K-X-ray fluorescence (KXRF) is the preferred biological marker of chronic exposure to lead. Unfortunately, considerable measurement error associated with KXRF estimations can introduce bias in estimates of the effect of bone lead when this variable is included as the exposure in a regression model. Estimates of uncertainty reported by the KXRF instrument reflect the variance of the measurement error and, although they can be used to correct the measurement error bias, they are seldom used in epidemiological statistical analyzes. Errors-in-variables regression (EIV) allows for correction of bias caused by measurement error in predictor variables, based on the knowledge of the reliability of such variables. The authors propose a way to obtain reli

SUBMITTER: Lamadrid-Figueroa H 

PROVIDER: S-EPMC3026095 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature