id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-345454-r1ymzk6n	Levesque, J.	A note on COVID-19 seroprevalence studies: a meta-analysis using hierarchical modelling	2020-05-06		.txt	text/plain	3631	230	61	Many of these studies find an antibody prevalence comparable to the false positive rate of their respective serology tests and the relatively low statistical power associated with each study has invited criticism. To determine the strength of the signal, we perform a meta-analysis on the publicly available seroprevalence data based on Bayesian hierarchical modelling with Markov Chain Monte Carlo and Generalized Linear Mixed Modelling with prediction sampling. The Santa Clara study shows a density function consistent with a high probability of a non-zero antibody prevalence, with a mean and a mode slightly greater than 1%, although we note that the posterior distribution does include zero. Figure 2 : The two dimensional marginal posterior distribution functions for antibody prevalence with the false positive rate at each study location from Bayesian hierarchical model. Figure 7 shows the resulting density functions for the antibody prevalence in each location from the GLMM prediction sampling.	./cache/cord-345454-r1ymzk6n.txt	./txt/cord-345454-r1ymzk6n.txt