Application of a New Statistical Model for Measurement Error to the Evaluation of Dietary Self-report Instruments.

ABSTRACT: Most statistical methods that adjust analyses for dietary measurement error treat an individual's usual intake as a fixed quantity. However, usual intake, if defined as average intake over a few months, varies over time. We describe a model that accounts for such variation and for the proximity of biomarker measurements to self-reports within the framework of a meta-analysis, and apply it to the analysis of data on energy, protein, potassium, and sodium from a set of five large validation studies of dietary self-report instruments using recovery biomarkers as reference instruments. We show that this time-varying usual intake model fits the data better than the fixed usual intake assumption. Using this model, we estimated attenuation factors and correlations with true longer-term usual inta

SUBMITTER: Freedman LS 

PROVIDER: S-EPMC4898197 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature