多途径暴露评估中使用多媒体暴露测量的局限性——第二部分:缺失数据和不精确的影响

C Andrew Clayton, Larry Michael, Edo D Pellizzari, James J Quackenboss
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引用次数: 0

摘要

从两项基于概率的暴露研究的多媒体数据的角度调查了数据缺失和测量误差不精确如何影响总体参数和关联的估计。缺少数据主要是由于个人拒绝参加某些测量活动,而不是由于现场或实验室问题;它建议未来的研究应该集中在最大化参与率的方法上。从重复样本数据计算的测量误差方差相对于总体的固有变异较小;因此,在非参数百分位数估计中,用于解释测量不精度的调整很小。然而,基于对数正态性假设的调整方法似乎表现不佳。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Limitations on the uses of multimedia exposure measurements for multipathway exposure assessment--Part II: Effects of missing data and imprecision.

Multimedia data from two probability-based exposure studies were investigated in terms of how missing data and measurement-error imprecision affected estimation of population parameters and associations. Missing data resulted mainly from individuals'refusing to participate in certain measurement activities, rather than from field or laboratory problems; it suggests that future studies should focus on methods for maximizing participation rates. Measurement error variances computed from duplicate-sample data were small relative to the inherent variation in the populations; consequently, adjustments in nonparametric percentile estimates to account for measurement imprecision were small. Methods of adjustment based on lognormality assumptions, however, appeared to perform poorly.

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