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Hartnack, Sonja; Eusebi, Paolo; Kostoulas, Polychronis (2021). Bayesian latent class models to estimate diagnostic test accuracies of COVID‐19 tests. Journal of Medical Virology, 93(2):639-640.
With great interest we read the article from Dramé et al. 1 “Should RT‐PC be considered as gold standard in the diagnosis of Covid‐19” questioning the conclusions from Cassaniti et al.2. 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 test1.
| Item Type: | Journal Article, refereed, original work |
|---|---|
| Communities & Collections: | 05 Vetsuisse Faculty > Veterinärwissenschaftliches Institut > Chair in Veterinary Epidemiology |
| Dewey Decimal Classification: | 570 Life sciences; biology
610 Medicine & health |
| Scopus Subject Areas: | Life Sciences > Virology
Health Sciences > Infectious Diseases |
| Uncontrolled Keywords: | Virology, Infectious Diseases |
| Language: | English |
| Date: | 1 February 2021 |
| Deposited On: | 02 Sep 2020 19:17 |
| Last Modified: | 23 Mar 2025 02:35 |
| Publisher: | Wiley-Blackwell Publishing, Inc. |
| ISSN: | 0146-6615 |
| OA Status: | Hybrid |
| Free access at: | PubMed ID. An embargo period may apply. |
| Publisher DOI: | https://doi.org/10.1002/jmv.26405 |
| PubMed ID: | 32770741 |
Hartnack, Sonja