论文标题
通过贝叶斯阈值测试评估Covid-19测试中的种族不平等
Assessing racial inequality in COVID-19 testing with Bayesian threshold tests
论文作者
论文摘要
COVID-19测试阳性率存在种族差异，这表明少数民族可能经过测试。在这里，借鉴了有关统计评估警务种族差异的文献，我们1）以统计缺陷（称为基础线条）来使用阳性率作为评估测试中种族差异的指标； 2）开发一种新型的贝叶斯阈值测试，以测量COVID-19测试中的差异和3）应用测试以测量现实世界中Covid-19数据集中测试阈值中的种族差异。
There are racial disparities in the COVID-19 test positivity rate, suggesting that minorities may be under-tested. Here, drawing on the literature on statistically assessing racial disparities in policing, we 1) illuminate a statistical flaw, known as infra-marginality, in using the positivity rate as a metric for assessing racial disparities in under-testing; 2) develop a new type of Bayesian threshold test to measure disparities in COVID-19 testing and 3) apply the test to measure racial disparities in testing thresholds in a real-world COVID-19 dataset.
