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Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data
US Food and Drug Administration (FDA) Adverse Event (AE) Reporting System (FAERS) is a major source of data for monitoring drug safety. However, there is not general procedure to systematically compare drugs group. We present a statistical method, which can effectively identify significant differenc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153695/ https://www.ncbi.nlm.nih.gov/pubmed/29295353 |
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author | Huang, Jing Zhang, Xinyuan Du, Jingcheng Duan, Rui Yang, Liu Moore, Jason H. Chen, Yong Tao, Cui |
author_facet | Huang, Jing Zhang, Xinyuan Du, Jingcheng Duan, Rui Yang, Liu Moore, Jason H. Chen, Yong Tao, Cui |
author_sort | Huang, Jing |
collection | PubMed |
description | US Food and Drug Administration (FDA) Adverse Event (AE) Reporting System (FAERS) is a major source of data for monitoring drug safety. However, there is not general procedure to systematically compare drugs group. We present a statistical method, which can effectively identify significant differences in AE rates among drugs and estimates the differences in age and gender distributions. |
format | Online Article Text |
id | pubmed-8153695 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-81536952021-05-26 Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data Huang, Jing Zhang, Xinyuan Du, Jingcheng Duan, Rui Yang, Liu Moore, Jason H. Chen, Yong Tao, Cui Stud Health Technol Inform Article US Food and Drug Administration (FDA) Adverse Event (AE) Reporting System (FAERS) is a major source of data for monitoring drug safety. However, there is not general procedure to systematically compare drugs group. We present a statistical method, which can effectively identify significant differences in AE rates among drugs and estimates the differences in age and gender distributions. 2017 /pmc/articles/PMC8153695/ /pubmed/29295353 Text en https://creativecommons.org/licenses/by-nc/4.0/This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). |
spellingShingle | Article Huang, Jing Zhang, Xinyuan Du, Jingcheng Duan, Rui Yang, Liu Moore, Jason H. Chen, Yong Tao, Cui Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data |
title | Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data |
title_full | Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data |
title_fullStr | Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data |
title_full_unstemmed | Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data |
title_short | Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data |
title_sort | comparing different adverse effects among multiple drugs using faers data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153695/ https://www.ncbi.nlm.nih.gov/pubmed/29295353 |
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