Where are our false positives?
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Date
2022-05-03
Open Access Location
Authors
Perezgonzalez J
Journal Title
Journal ISSN
Volume Title
Publisher
OSF Preprints
Rights
(c) The Author
Abstract
In our current regime of COVID-19 testing, a question seems not to be asked: Are we inferring the best we can from our results? Or, put differently, are we testing with severity? This study thus explore the proportion of expected positives and negative cases, with an especial focus on estimating false positives in isolation and estimating false (or unknown) negatives in the remaining population. Both seems to have been chiefly ignored by Government health policy.
Description
Keywords
Bayesian statistics, COVID-19, Statistical inference, Severity
Citation
2022