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Frequentist and Bayesian analysis of potential adverse events of the COVID-19 immunization
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
European Association of Urology. Published by Elsevier B.V.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912113/ http://dx.doi.org/10.1016/S0302-2838(23)00196-3 |
| _version_ | 1784885137955094528 |
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| author | Davis, M. Aftab, O. Rogers, A. Cadwell, J. Hou, L. Sheckley, F. Abdollah, F. Ahmed, M. Billah, M.S. |
| author_facet | Davis, M. Aftab, O. Rogers, A. Cadwell, J. Hou, L. Sheckley, F. Abdollah, F. Ahmed, M. Billah, M.S. |
| author_sort | Davis, M. |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9912113 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | European Association of Urology. Published by Elsevier B.V. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-99121132023-02-10 Frequentist and Bayesian analysis of potential adverse events of the COVID-19 immunization Davis, M. Aftab, O. Rogers, A. Cadwell, J. Hou, L. Sheckley, F. Abdollah, F. Ahmed, M. Billah, M.S. Eur Urol Article European Association of Urology. Published by Elsevier B.V. 2023-02 2023-02-10 /pmc/articles/PMC9912113/ http://dx.doi.org/10.1016/S0302-2838(23)00196-3 Text en Copyright © 2023 European Association of Urology. Published by Elsevier B.V. All rights reserved. Published by Elsevier B.V. All rights reserved. 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 Davis, M. Aftab, O. Rogers, A. Cadwell, J. Hou, L. Sheckley, F. Abdollah, F. Ahmed, M. Billah, M.S. Frequentist and Bayesian analysis of potential adverse events of the COVID-19 immunization |
| title | Frequentist and Bayesian analysis of potential adverse events of the COVID-19 immunization |
| title_full | Frequentist and Bayesian analysis of potential adverse events of the COVID-19 immunization |
| title_fullStr | Frequentist and Bayesian analysis of potential adverse events of the COVID-19 immunization |
| title_full_unstemmed | Frequentist and Bayesian analysis of potential adverse events of the COVID-19 immunization |
| title_short | Frequentist and Bayesian analysis of potential adverse events of the COVID-19 immunization |
| title_sort | frequentist and bayesian analysis of potential adverse events of the covid-19 immunization |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912113/ http://dx.doi.org/10.1016/S0302-2838(23)00196-3 |
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