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Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint .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Document: is the (which was not peer-reviewed) The copyright holder for this preprint .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:
Search related documents:
Co phrase search for related documents- binomial distribution and inference method: 1
- imperfect test and inference method: 1
- imperfect test and serological test: 1, 2
- imperfect test and true population: 1, 2, 3, 4
- imperfect test sample and true population: 1
- inference method and true population: 1, 2, 3
- perfect sensitivity and serological test: 1, 2
- perfect sensitivity and specificity perfect sensitivity: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
- perfect sensitivity and true population: 1
- serological test and specificity perfect sensitivity: 1, 2
- serological test and true population: 1, 2
- specificity perfect sensitivity and true population: 1
Co phrase search for related documents, hyperlinks ordered by date