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Bayes' theorem, COVID19, and screening tests
The COVID19 crisis has provided a portal to revisit and understand qualities of screening tests and the importance of Bayes' theorem in understanding how to interpret results and implications of next actions.
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315940/ https://www.ncbi.nlm.nih.gov/pubmed/33142166 http://dx.doi.org/10.1016/j.ajem.2020.06.054 |
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author | Chan, Gar Ming |
author_facet | Chan, Gar Ming |
author_sort | Chan, Gar Ming |
collection | PubMed |
description | The COVID19 crisis has provided a portal to revisit and understand qualities of screening tests and the importance of Bayes' theorem in understanding how to interpret results and implications of next actions. |
format | Online Article Text |
id | pubmed-7315940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Author(s). Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73159402020-06-25 Bayes' theorem, COVID19, and screening tests Chan, Gar Ming Am J Emerg Med Article The COVID19 crisis has provided a portal to revisit and understand qualities of screening tests and the importance of Bayes' theorem in understanding how to interpret results and implications of next actions. The Author(s). Published by Elsevier Inc. 2020-10 2020-06-25 /pmc/articles/PMC7315940/ /pubmed/33142166 http://dx.doi.org/10.1016/j.ajem.2020.06.054 Text en © 2020 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Chan, Gar Ming Bayes' theorem, COVID19, and screening tests |
title | Bayes' theorem, COVID19, and screening tests |
title_full | Bayes' theorem, COVID19, and screening tests |
title_fullStr | Bayes' theorem, COVID19, and screening tests |
title_full_unstemmed | Bayes' theorem, COVID19, and screening tests |
title_short | Bayes' theorem, COVID19, and screening tests |
title_sort | bayes' theorem, covid19, and screening tests |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315940/ https://www.ncbi.nlm.nih.gov/pubmed/33142166 http://dx.doi.org/10.1016/j.ajem.2020.06.054 |
work_keys_str_mv | AT changarming bayestheoremcovid19andscreeningtests |