1. Poluzzi E, Raschi E, Piccinni C, Ponti FD. Data mining techniques in pharmacovigilance: analysis of the publicly accessible FDA adverse event reporting system (AERS). In: Data mining applications in engineering and medicine. InTech; 2012.
2. Raschi E, Moretti U, Salvo F, Pariente A, Antonazzo IC, Ponti FD, et al. Evolving roles of spontaneous reporting systems to assess and monitor drug safety. pharmacovigilance. 2018. https://www.intechopen.com/online-first/evolving-roles-of-spontaneous-reporting-systems-to-assess-and-monitor-drug-safety. Cited 3 Feb 2019.
3. ICH Official web site : ICH [cited 2023 Oct 17]. Available at: https://ich.org/page/e2br3-individual-case-safety-report-icsr-specification-and-related-files. Cited 17 Oct 2019.
4. Fusaroli M, Salvo F, Bernardeau C, Idris M, Dolladille C, Pariente A, et al. Mapping strategies to assess and increase the validity of published disproportionality signals: a meta-research study. Drug Saf. 2023. https://doi.org/10.1007/s40264-023-01329-w.
5. FDA. FDA adverse event reporting system (FAERS) Public Dashboard | FDA [].https://www.fda.gov/drugs/questions-and-answers-fdas-adverse-event-reporting-system-faers/fda-adverse-event-reporting-system-faers-public-dashboard. cited 14 Dec 2022.