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On the interplay between exposure misclassification and informative cluster size

机译:在曝光错误分类和信息丰富大小之间的相互作用

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A recent multigenerational study of diethylstilbestrol and attention deficit hyperac-tivity disorder exhibited signs of both informative cluster size-the outcome was more prevalent in small families-and exposure misclassification-self-report of familial diethylstilbestrol exposure was substantially mismeasured. Motivated by this, we study the effect of exposure misclassification when cluster size is potentially informative and, in particular, when misclassification is differential by cluster size. We find that: misclassification in an exposure that is related to cluster size induces informativeness when cluster size would otherwise be non-informative; and misclassification that is differential by informative cluster size may attenuate, inflate or possibly reverse the sign of estimates. To mitigate these issues, we propose an observed likelihood correction for joint models of cluster size and outcomes, and an expected estimating equations correction. We evaluate these approaches in simulations and in application to the motivating data from the second Nurses Health Study, NHS II.
机译:最近的二乙基雌激素和注意力缺陷超梗阻障碍的多核研究表明了信息群体大小的迹象 - 在小家庭中更普遍的结果 - 以及家庭二乙基雌激露的自我报告的自我报告基本上是不相同的。由此激励,我们研究群集大小可能提供信息量的曝光错误分类的影响,特别是当错误分类是通过簇大小进行差异。我们发现:在群集大小与簇大小相关的曝光中错误分类,否则簇大小会导致非信息性;通过信息集群大小的差异分类和错误分类可能会衰减,膨胀或可能逆转估计的符号。为了减轻这些问题,我们提出了观察到的簇大小和结果的联合模型的似然校正,以及预期的估计方程校正。我们评估了模拟中的这些方法,并在申请到激励第二护士健康研究的激励数据,NHS II。

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