Measurement error correction using validation data: a review of methods and their applicability in case-control studies

Measurement error is a serious problem in the analysis of epidemiological d ata. In the past 20 years, a large number of methods for the correction of measurement error have been developed. While at the beginning mostly method s for cohort studies were considered, recently more attention has been paid to case-control studies. Although a variety of methods have been proposed, they are very rarely used in practice. To stimulate their use and further development, this article provides a comprehensive overview on methods deve loped for multivariable regression analysis of epidemiologic studies with v alidation data sets. The methods are systematically classified with respect to the underlying theory. An assessment of prerequisites, assumptions and performance of the available methods is given. Particular attention is paid to applicability to case-control studies and need for further research and development is pointed out.