A toolkit for measurement error correction, with a focus on nutritional epidemiology.
Bottom Line: To correct for the effects of measurement error, information additional to the main study data is required.We emphasize practical application of the methods in nutritional epidemiology and other fields.The methods are illustrated using the data from a study of the association between fibre intake and colorectal cancer, where fibre intake is measured using a diet diary and repeated measures are available for a subset.
Affiliation: Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, U.K.Show MeSH
Related in: MedlinePlus
Mentions: We also applied the correction methods for categorized exposures, described in Section 0018. Figure 2 shows the results from a naive analysis using quintiles of exposure, from MacMahon's method, and by imputing the underlying continuous exposure (on the log scale here) and categorizing that for use in the exposure-outcome analysis. In the uncorrected plot, there is some suggestion of a non-linear association. The results using the correction methods suggest a more non-linear relationship compared with the naive analysis, which is what we would expect 50.
Affiliation: Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, U.K.