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首页> 外文期刊>Journal of exposure analysis and environmental epidemiology >Population coverage and nonresponse bias in a large-scale human exposure study.
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Population coverage and nonresponse bias in a large-scale human exposure study.

机译:大规模人类暴露研究中的人群覆盖率和无应答偏倚。

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摘要

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.
机译:我们使用从EPA区域V的国家人类暴露评估调查(NHEXAS)第一阶段实地研究(三个NHEXAS第一阶段实地研究之一)的筛选变量中得出的估计值,来检查因调查固有的无响应和/或不完全的人口覆盖率而导致的偏差。研究设计。对于具有可从人口普查预测获得的总体值的变量,使用基于设计的权重在无响应的每个阶段之后测试无响应和覆盖偏差的组合效果。对于无法获得人口普查预测值的变量,在无反应的筛选阶段之后,使用针对筛查无反应而调整的权重测试无反应偏差。使用最终调查权重执行了其他偏倚测试,以评估调查权重调整在降低观测偏倚方面的性能。使用基于设计的权重和调整后的权重估计的偏倚进行比较,以识别潜在的重要权重调整变量,以用于将来的暴露研究,确定调查设计策略中的可能弱点,并支持使用无响应和分层后的权重调整以减少将来调查中的偏倚学习。

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