Comparison of Bayesian and frequentist methods for prevalence estimation under misclassification

Abstract Background 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...

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Bibliographic Details
Main Authors: Matthias Flor, Michael Weiß, Thomas Selhorst, Christine Müller-Graf, Matthias Greiner
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-020-09177-4