25Sep 2021
A Bayesian method for synthesizing multiple diagnostic outcomes of COVID-19 tests

A Bayesian method for synthesizing multiple diagnostic outcomes of COVID-19 tests

Considering the situation where there is more than one diagnostic outcome for each subject, we proposed a Bayesian probabilistic framework based on the sensitivity and specificity of each diagnostic method to synthesize a posterior probability of being infected by SARS-CoV-2. The web application enables the real-time display of the integrated outcome incorporating two or more tests and calculated based on Bayesian posterior probability. A simulation-based assessment demonstrated higher accuracy and precision of the Bayesian probabilistic model compared with a single-test outcome.

  • #family health

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