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环境流行病学中暴露测量误差对混杂因素识别的影响。

Consequences of exposure measurement error for confounder identification in environmental epidemiology.

作者信息

Budtz-Jørgensen Esben, Keiding Niels, Grandjean Philippe, Weihe Pal, White Roberta F

机构信息

Department of Biostatistics, University of Copenhagen, Blegdamsvej 3, DK-2200 Copenhagen N, Denmark.

出版信息

Stat Med. 2003 Oct 15;22(19):3089-100. doi: 10.1002/sim.1541.

DOI:10.1002/sim.1541
PMID:12973789
Abstract

Non-differential measurement error in the exposure variable is known to attenuate the dose-response relationship. The amount of attenuation introduced in a given situation is not only a function of the precision of the exposure measurement but also depends on the conditional variance of the true exposure given the other independent variables. In addition, confounder effects may also be affected by the exposure measurement error. These difficulties in statistical model development are illustrated by examples from a epidemiological study performed in the Faroe Islands to investigate the adverse health effects of prenatal mercury exposure.

摘要

已知暴露变量中的非差异测量误差会削弱剂量反应关系。在给定情况下引入的衰减量不仅是暴露测量精度的函数,还取决于给定其他自变量时真实暴露的条件方差。此外,混杂因素的影响也可能受到暴露测量误差的影响。法罗群岛进行的一项流行病学研究中的例子说明了统计模型开发中的这些困难,该研究旨在调查产前汞暴露对健康的不良影响。

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