MISCLASSIFICATION OF COVARIATES
MISCLASSIFICATION OF COVARIATES
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DOI：
10.1002/sim.4780100803
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发表时间：
1991-08-01
影响因子：
2
通讯作者：
LANES, SF
中科院分区：
文献类型：
--
作者：
WALKER, AM;LANES, SF
在哮喘死亡率报告数据的背景下，我们研究了两种类型的协变量错误分类。第一种类型是非差异性误分类，其中误分类的受试者比例在暴露和疾病状态下不变。基于考克斯和埃尔伍德以及Bennner和Waveldorf的工作，我们发现错误分类比例的容许值范围受观察到的数据的限制，并且可能不包括任何解释观察到的效应估计异质性的值。第二种类型是差异性误分类，其中分类错误根据研究受试者所属的疾病或暴露类别而不同。如果暴露与混杂变量之间或混杂变量与疾病之间的关系很强，则差异误分类可能会导致特定层比值比估计值出现较大变化。
In the context of reported data on asthma mortality, we examine two types of covariate misclassification. The first type is non-differential misclassification, in which the proportion of subjects misclassified is invariant over exposure and disease status. Building on work by Cox and Elwood and by Blettner and Wahrendorf, we find that the range of admissible values for misclassification proportions is bounded by the observed data, and may not include any values that account for observed heterogeneity of effect estimates. The second type is differential misclassification, in which the classification error differs according to the disease or exposure classes to which study subjects belong. If the relation between exposure and the confounding variable or between the confounding variable and disease is strong, differential misclassification can produce large variations in the stratum-specific odds ratio estimates.