id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-132120-u5s5heqm	Dempsey, Walter	The Hypothesis of Testing: Paradoxes arising out of reported coronavirus case-counts	2020-05-21		.txt	text/plain	8195	579	64	While expanded testing is a laudable goal, selection bias will impact estimates of disease prevalence and the effective reproduction number until the entire population is sampled. Fourth, we show that cross-country comparisons are difficult at best with population size, sampling fraction, and data quality all interacting to impact null hypothesis testing. This points to a critical issue in the current media practices in communication of case-count data: two countries with the same testing strategy (i.e., E I [ρ I,Y ] equal) can yield wildly different estimates due to population size. Supposing COVID-19 positive individuals are 2 times more likely to get tested than those individuals who are COVID-19 negative, the question is "What is the sample size from a SRS that would yield equivalent MSE in the estimated prevalence?" Using the above MSE result, Meng showed the effective sample size is equal to n ef f ≤	./cache/cord-132120-u5s5heqm.txt	./txt/cord-132120-u5s5heqm.txt