Estimation and inference for case-control studies with multiple non-gold standard exposure assessments: with an occupational health application

Estimation and inference for case-control studies with multiple non-gold standard exposure assessments: with an occupational health application
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DOI:
10.1093/biostatistics/kxp015
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发表时间:
2009-10-01
期刊:
影响因子:
2.1
通讯作者:
Ibrahim, Joseph G.
Ibrahim, Joseph G.
中科院分区:
数学2区
文献类型:
--
作者:
Chu, Haitao;Cole, Stephen R.;Ibrahim, Joseph G.

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在职业性病例对照研究中,与工作相关的暴露评估往往是真实潜在暴露的容易出错的衡量标准。代替黄金标准,经常使用两个以上不完美的测量(例如三联体)来评估暴露。虽然存在在缺乏金标准的情况下评估诊断准确性的方法,但在职业性病例对照研究中,这些方法很少用于校正暴露与疾病关联的测量误差。在这里,我们提出了一种基于似然性的方法,该方法(A)提供关于测试的错误分类是差异的还是非差异的证据;(B)提供测试的错误分类是独立的还是依赖于潜在暴露状态的证据;以及(C)估计测量误差校正后的暴露与疾病的关联。这些方法以统一的方式同时使用来自所有不完美评估的信息,这反过来又可以比基于个别评估的评估提供更准确的暴露与疾病关联的估计。这种方法的性能是通过模拟研究来调查的,并应用于国家职业危险调查,这是一项评估石棉暴露与间皮瘤之间关系的病例对照研究。
In occupational case-control studies, work-related exposure assessments are often fallible measures of the true underlying exposure. In lieu of a gold standard, often more than 2 imperfect measurements (e.g. triads) are used to assess exposure. While methods exist to assess the diagnostic accuracy in the absence of a gold standard, these methods are infrequently used to correct for measurement error in exposure-disease associations in occupational case-control studies. Here, we present a likelihood-based approach that (a) provides evidence regarding whether the misclassification of tests is differential or nondifferential; (b) provides evidence whether the misclassification of tests is independent or dependent conditional on latent exposure status, and (c) estimates the measurement error-corrected exposure-disease association. These approaches use information from all imperfect assessments simultaneously in a unified manner, which in turn can provide a more accurate estimate of exposure-disease association than that based on individual assessments. The performance of this method is investigated through simulation studies and applied to the National Occupational Hazard Survey, a case-control study assessing the association between asbestos exposure and mesothelioma.