Including objective biomarkers like urine nitrogen in covariance structure models reveals that previous assumptions about the independence of measurement error in dietary assessment were incorrect.
Questions independence assumptions in dietary error models; leaves open refined validation for nutritional epidemiology in cardiovascular research.
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.
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Plummer et al. (1993) studied this question.
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