Plummer M, Clayton D
MRC Biostatistics Unit, Institute of Public Health, University Forvie Site, Cambridge, U.K.
Stat Med. 1993 May 30;12(10):937-48. doi: 10.1002/sim.4780121005.
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.
在第一部分中，我们提出了一个协方差结构模型，用于分析氮摄入量评估中的测量误差。在本文中，我们纳入了尿氮排泄数据，这使得对所提出的模型进行批判性评估成为可能。纳入尿氮数据会对膳食摄入量测量质量产生更为悲观的估计，并表明先前关于测量误差独立性的假设是错误的。这突出了在测量误差分析中需要有充分依据的假设。
