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膳食评估中的测量误差:使用协方差结构模型的调查。第一部分。

Measurement error in dietary assessment: an investigation using covariance structure models. Part I.

作者信息

Plummer M, Clayton D

机构信息

MRC Biostatistics Unit, Institute of Public Health, University Forvie Site, Cambridge, UK.

出版信息

Stat Med. 1993 May 30;12(10):925-35. doi: 10.1002/sim.4780121004.

DOI:10.1002/sim.4780121004
PMID:8337549
Abstract

Repeated measures of diet are analysed in an attempt to discover the measurement error properties of various dietary assessment methods. It is customary in such studies to assume that one reference measurement is 'valid' (without error) but this assumption is not tenable. An alternative approach, widely used in social science, is to model the covariance matrix of the repeated measures. We apply this methodology to assessments of nitrogen intake, which is essentially equivalent to protein intake.

摘要

对饮食的重复测量进行分析,以试图发现各种饮食评估方法的测量误差特性。在这类研究中,通常假定一种参考测量是“有效的”(无误差),但这种假设是站不住脚的。社会科学中广泛使用的另一种方法是对重复测量的协方差矩阵进行建模。我们将这种方法应用于氮摄入量的评估,氮摄入量本质上等同于蛋白质摄入量。

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