title: Measurement error in dietary assessment: an investigation using covariance structure models. Part II.
abstract: In Part I we presented a covariance structure model for analysing measurement error in the assessment of nitrogen intake. In this paper we include data on urine nitrogen excretion which allows a critical assessment of the model proposed. Inclusion of urine nitrogen data produces more pessimistic estimates of the quality of dietary intake measurements and shows that previous assumptions about independence of measurement error were wrong. This underscores the need for well founded assumptions in the analysis of measurement error.
authors.affiliation: MRC Biostatistics Unit, Institute of Public Health, University Forvie Site, Cambridge, U.K.
authors.forename: M
authors.initials: M
authors.lastname: Plummer
authors.forename: D
authors.initials: D
authors.lastname: Clayton
mesh_terms: D001499:Bayes Theorem; D015982:Bias; D004044:Dietary Proteins / Q000032:analysis*; D004812:Epidemiologic Methods; D005069:Evaluation Studies as Topic; D006801:Humans; D015233:Models, Statistical; D009584:Nitrogen / Q000652:urine*; D015596:Nutrition Assessment; D009749:Nutrition Surveys; D015203:Reproducibility of Results; D012621:Seasons
chemical_list: D004044:Dietary Proteins; D009584:Nitrogen