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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Main Authors: | Matthias Flor (Author), Michael Weiß (Author), Thomas Selhorst (Author), Christine Müller-Graf (Author), Matthias Greiner (Author) |
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Format: | Book |
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BMC,
2020-07-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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