Correcting for the bias caused by exposure measurement error in epidemiological studies

Michael Thomas Fahey, Andrew Benjamin Forbes, Alison Maree Hodge

Research output: Contribution to journalArticleOther

4 Citations (Scopus)


An important goal of many epidemiological studies is to estimate the magnitude of association between an exposure and an outcome. Exposure measurement error causes bias in such estimates of association and can be substantial. In this article, we describe the problem of exposure measurement error and its effects. We show how a simple hand calculation, in conjunction with validation study data and a calibration equation, can be used to correct estimates for the bias caused by exposure measurement error. Correcting estimates of association for measurement error helps researchers appropriately assess effect size.
Original languageEnglish
Pages (from-to)979 - 984
Number of pages6
Issue number7
Publication statusPublished - 2014

Cite this