Author: Daniel B Larremore; Bailey K Fosdick; Kate M Bubar; Sam Zhang; Stephen M Kissler; C. Jessica E. Metcalf; Caroline Buckee; Yonatan Grad
Title: Estimating SARS-CoV-2 seroprevalence and epidemiological parameters with uncertainty from serological surveys Document date: 2020_4_20
ID: c4cs14ja_55
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.15.20067066 doi: medRxiv preprint S1 Bayesian inference methods S1.1 Inference of seroprevalance in a sample using an imperfect test If a serological test had perfect sensitivity and specificity, the probability of observing n + seropositive and n − seronegative results from n tests, given a true population seroprevalence θ, is given b.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.15.20067066 doi: medRxiv preprint S1 Bayesian inference methods S1.1 Inference of seroprevalance in a sample using an imperfect test If a serological test had perfect sensitivity and specificity, the probability of observing n + seropositive and n − seronegative results from n tests, given a true population seroprevalence θ, is given by the binomial distribution:
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