An algorithm to detect unexpected increases in frequency of reports of adverse events in EudraVigilance

PURPOSE: The European Medicines Agency developed an algorithm to detect unexpected increases in frequency of reports, to enhance the ability to detect adverse events that manifest as increases in frequency, in particular quality defects, medication errors, and cases of abuse or misuse. METHODS: An a...

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Detalles Bibliográficos
Autores principales: Pinheiro, Luis C., Candore, Gianmario, Zaccaria, Cosimo, Slattery, Jim, Arlett, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Original Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765515/
https://www.ncbi.nlm.nih.gov/pubmed/29143393
http://dx.doi.org/10.1002/pds.4344

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765515/
https://www.ncbi.nlm.nih.gov/pubmed/29143393
http://dx.doi.org/10.1002/pds.4344

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