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We continue our review of issues related to measurement error and misclassification in epidemiology. We further describe methods of adjusting for biased estimation caused by measurement error in continuous covariates, covering likelihood methods, Bayesian methods, moment reconstruction, moment‐adjusted imputation, and multiple imputation. We then describe which methods can also be used with misclassification...
In lifestyle intervention trials, where the goal is to change a participant's weight or modify their eating behavior, self‐reported diet is a longitudinal outcome variable that is subject to measurement error. We propose a statistical framework for correcting for measurement error in longitudinal self‐reported dietary data by combining intervention data with auxiliary data from an external biomarker...
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