id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-155530-fz9l7rc7	Pierson, Emma	Assessing racial inequality in COVID-19 testing with Bayesian threshold tests	2020-11-02		.txt	text/plain	2782	143	56	In the case of COVID-19, infra-marginality is not a hypothetical concern: per capita infection rates are much higher in Black populations than white populations, so it is plausible that there might be dramatic differences in the risk distributions. We fit the model to cumulative COVID-19 test and case count data through August 16, 2020 in the US state of Indiana, broken down by race and county (further data details in Appendix A). (2018) proposes a version of the threshold test which incorporates population information, but makes use of only the proportion rather than the absolute population of each race group in each location: eg, the population information provided to their model is that "in County X, 40% of people are Hispanic, 20% are white, and 40% are Black". 3 We infer county-specific COVID-19 testing thresholds for non-Hispanic white, non-Hispanic Black, and Hispanic populations.	./cache/cord-155530-fz9l7rc7.txt	./txt/cord-155530-fz9l7rc7.txt