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一项大规模人体暴露研究中的人群覆盖率及无应答偏倚

Population coverage and nonresponse bias in a large-scale human exposure study.

作者信息

Mosquin Paul, Whitmore Roy, Suerken Cindy, Quackenboss Jim

机构信息

RTI International, Research Triangle Park, NC 27709, USA.

出版信息

J Expo Anal Environ Epidemiol. 2005 Sep;15(5):431-8. doi: 10.1038/sj.jea.7500421.

Abstract

We used estimates derived from screener variables of the National Human Exposure Assessment Survey (NHEXAS) Phase I field study in EPA Region V (one of three NHEXAS Phase I field studies) to examine biases resulting from survey nonresponse and/or incomplete population coverage inherent in the study design. For variables with population values obtainable from Census projections, the combined effect of nonresponse and coverage bias was tested for after each stage of nonresponse using design-based weights. For variables where population values were not available as Census projections, nonresponse bias was tested for after the screener stage of nonresponse using weights adjusted for screener nonresponse. Additional tests for bias were performed using final survey weights to evaluate the performance of survey weight adjustments in reducing observed bias. Comparison of biases estimated using both design-based and adjusted weights was used to identify potentially important weight adjustment variables for future exposure studies, identify possible weaknesses in survey design strategies, and support the use of nonresponse and poststratification weight adjustments to reduce bias in future survey studies.

摘要

我们使用了来自美国国家人类暴露评估调查(NHEXAS)第一阶段实地研究(美国环境保护局第五区域,是NHEXAS第一阶段的三项实地研究之一)筛选变量得出的估计值,来检验因调查无应答和/或研究设计中固有的人口覆盖不完整而导致的偏差。对于可从人口普查预测中获取总体值的变量,在无应答的每个阶段之后,使用基于设计的权重来检验无应答和覆盖偏差的综合影响。对于无法从人口普查预测中获取总体值的变量,在无应答筛选阶段之后,使用针对筛选无应答进行调整的权重来检验无应答偏差。使用最终调查权重进行额外的偏差检验,以评估调查权重调整在减少观察到的偏差方面的效果。比较使用基于设计的权重和调整后的权重估计的偏差,以识别未来暴露研究中可能重要的权重调整变量,识别调查设计策略中可能存在的弱点,并支持使用无应答和事后分层权重调整来减少未来调查研究中的偏差。

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