Perezgonzalez J2023-10-242022-05-042023-10-242022-05-042022http://hdl.handle.net/10179/20371The article contains a Bayesian analysis to model expected rate of positive and negative COVID-19 cases, based on Rapid Antigen Test performance and COVID-19 prevalence in New Zealand. The results suggest that the majority of approved tests were excellent in identifying negative cases but might turn out too many false positives. Recommendations for a protocol for RAT-based testing concludes the article.(c) The AuthorBayesian statisticsStatistical inferenceCOVID-19Rapid Antigen Testinternet10.31219/osf.io/ud4tp454558Massey_Dark