Transporting Measurement Error Correction from Validation Samples to Intervention Trials

Many lifestyle intervention trials depend on collecting self-reported outcomes, such as dietary intake, in order to assess the intervention’s effectiveness. Self-reported outcome measures may be subject to measurement error, which could impact estimation of the treatment effect. Methods have been developed to correct for measurement error by using external validation studies, which measure both the self-reported outcome and an accompanying biomarker, to model and account for the measurement error structure. Most validation data, though, are only relevant for the outcome under control conditions.