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Comparison of Bayesian and frequentist methods for prevalence estimation under misclassification.

Matthias Flor | Michael Weiß | Thomas Selhorst | Christine Müller-Graf | Matthias Greiner
BMC public health | 2020

Various methods exist for statistical inference about a prevalence that consider misclassifications due to an imperfect diagnostic test. However, traditional methods are known to suffer from truncation of the prevalence estimate and the confidence intervals constructed around the point estimate, as well as from under-performance of the confidence intervals' coverage.

Pubmed ID: 32689959

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