Cargando…
Using Statistical Modeling for Enhanced and Flexible Pharmacovigilance Audit Risk Assessment and Planning
BACKGROUND: The European Medicines Agency Good Pharmacovigilance Practices (GVP) guidelines provide a framework for pharmacovigilance (PV) audits, including limited guidance on risk assessment methods. Quality assurance (QA) teams of large and medium sized pharmaceutical companies generally conduct...
Autores principales: | Zou, Min, Barmaz, Yves, Preovolos, Melissa, Popko, Leszek, Ménard, Timothé |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785557/ https://www.ncbi.nlm.nih.gov/pubmed/32804381 http://dx.doi.org/10.1007/s43441-020-00205-4 |
Ejemplares similares
-
Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine Learning
por: Ménard, Timothé, et al.
Publicado: (2019) -
Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?
por: Ménard, Timothé, et al.
Publicado: (2019) -
Statistical Modeling for Quality Risk Assessment of Clinical Trials: Follow-Up at the Era of Remote Auditing
por: Koneswarakantha, Björn, et al.
Publicado: (2022) -
Harnessing the Power of Quality Assurance Data: Can We Use Statistical Modeling for Quality Risk Assessment of Clinical Trials?
por: Koneswarakantha, Björn, et al.
Publicado: (2020) -
Bayesian Modeling for the Detection of Adverse Events Underreporting in Clinical Trials
por: Barmaz, Yves, et al.
Publicado: (2021)