Bayesian analysis of tests with unknown specificity and sensitivity

Abstract excerpt

When testing for a rare disease, prevalence estimates can be highly sensitive to uncertainty in the specificity and sensitivity of the test. Bayesian inference is a natural way to propagate these uncertainties, with hierarchical modeling capturing variation in these parameters across experiments. Another concern is the people in the sample not being representative of the general population. Statistical adjustment...

Topics

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• Bayes Theorem
• Bupropion
• Clinical Trials as Topic
• Computer Simulation
• Dopamine Uptake Inhibitors
• Models, Statistical
• Research Design
• Smoking Cessation

Identifiers and source

Literature Corpus work

40989808-2b49-5461-8c27-b6703893f115

DOI

10.1101/2020.05.22.20108944