VALIDATION STUDIES USING AN ALLOYED GOLD STANDARD
VALIDATION STUDIES USING AN ALLOYED GOLD STANDARD
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DOI：
10.1093/oxfordjournals.aje.a116627
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发表时间：
1993-06-01
影响因子：
5
通讯作者：
HARTGE, P
中科院分区：
文献类型：
--
作者：
WACHOLDER, S;ARMSTRONG, B;HARTGE, P
当使用验证研究来纠正由于错误分类或测量误差导致的相对偏倚风险估计时，一个关键假设是，已知有误差但仍在主要研究中常规使用的可用测量与测量无误差的金标准进行比较。在大多数流行病学应用中，假定的金标准实际上是有误差的。违背假设对修正估计的影响取决于两个测量中误差的大小及其相关性。特别是，当误差为负相关、独立或弱正相关时，校正后的估价值往往会超过真实值。
A key assumption made when using a validation study to correct an estimate of relative risk for bias due to misclassification or measurement error is that the available measure, known to have error but nonetheless used routinely in the main study, is compared to a gold standard measured without error. In most epidemiologic applications, the putative gold standard is in fact measured with error. The effect of the violation of the assumption on the corrected estimate depends on the magnitudes of the errors in the two measures and on their correlation. In particular, when the errors are negatively correlated, independent, or weakly positively correlated, the corrected estimate will tend to overcorrect beyond the true value.