Comparing methods of misclassification correction for studies of adolescent alcohol use

摘要

Background: Despite concerns over measurement error, self-report continues to be the most common measure of adolescent alcohol use used by researchers. Objective measures of adolescent alcohol use continue to advance, however, they tend to be cost prohibitive for larger studies. By combining appropriate statistical techniques and validation subsamples, the benefits of objective alcohol measures can be made more accessible to a greater number of researchers. Objectives: To compare three easily implemented methods to correct for measurement error when objective measures of alcohol use are available for a subsample of participants, regression calibration, multiple imputation for measurement error (MIME), and probabilistic sensitivity analysis (PSA), and provide guidance regarding the use of each method in scenarios likely to occur in practice.