We propose a method to test for the presence of differential ascertainment in case‐control studies, when data are collected by multiple sources. We show that, when differential ascertainment is present, the use of only the observed cases leads to severe bias in the computation of the odds ratio. We can alleviate the effect of such bias using the estimates that our method of testing for differential ascertainment naturally provides. We apply it to a dataset obtained from the National Violent Death Reporting System, with the goal of checking for the presence of differential ascertainment by race in the count of deaths caused by child maltreatment.

中文翻译：

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病例对照研究中的确定性差异测试，适用于儿童虐待。

当数据由多个来源收集时，我们提出了一种在病例对照研究中测试差异确定性的方法。我们表明，当存在差分确定性时，仅使用观察到的情况会导致比值比的计算出现严重偏差。我们可以使用我们的差分确定性测试方法自然提供的估计值来减轻这种偏差的影响。我们将其应用于从国家暴力死亡报告系统获得的数据集，目的是检查在虐待儿童导致的死亡人数中，是否存在种族差异确定性的存在。