tetano
Editor, Senior Moderator
J Med Virol
. 2020 Aug 8.
doi: 10.1002/jmv.26405. Online ahead of print.
Bayesian latent class models to estimate diagnostic test accuracies of COVID-19 tests
Sonja Hartnack[SUP] 1 [/SUP], Paolo Eusebi[SUP] 2 [/SUP], Polychronis Kostoulas[SUP] 3 [/SUP]
Affiliations
Abstract
With great interest we read the article from Dram? et al. 1 "Should RT-PC be considered as gold standard in the diagnosis of Covid-19" questioning the conclusions from Cassaniti et al.[SUP]2[/SUP] . We agree with the argument that considering RT-PCR as gold standard when evaluating a new test will inevitably lead to biased test accuracy estimates of the new test[SUP]1[/SUP] . This article is protected by copyright. All rights reserved.
Keywords: Biostatistics & Bioinformatics; Coronavirus; Epidemiology; Virus classification.
. 2020 Aug 8.
doi: 10.1002/jmv.26405. Online ahead of print.
Bayesian latent class models to estimate diagnostic test accuracies of COVID-19 tests
Sonja Hartnack[SUP] 1 [/SUP], Paolo Eusebi[SUP] 2 [/SUP], Polychronis Kostoulas[SUP] 3 [/SUP]
Affiliations
- PMID: 32770741
- DOI: 10.1002/jmv.26405
Abstract
With great interest we read the article from Dram? et al. 1 "Should RT-PC be considered as gold standard in the diagnosis of Covid-19" questioning the conclusions from Cassaniti et al.[SUP]2[/SUP] . We agree with the argument that considering RT-PCR as gold standard when evaluating a new test will inevitably lead to biased test accuracy estimates of the new test[SUP]1[/SUP] . This article is protected by copyright. All rights reserved.
Keywords: Biostatistics & Bioinformatics; Coronavirus; Epidemiology; Virus classification.