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Grigoriev, I. ; zu Castell, W. ; Tsvetkov, P.* ; Antonov, A.V.*

AERS spider: An online interactive tool to mine statistical associations in Adverse Event Reporting System.

Pharmacoepidemiol. Drug Saf. 23, 795-801 (2014)
Publ. Version/Full Text Volltext DOI
Open Access Green as soon as Postprint is submitted to ZB.
Background Exploration of the Adverse Event Reporting System (AERS) data by a wide scientific community is limited due to several factors. First, AERS data must be intensively preprocessed to be converted into analyzable format. Second, application of the currently accepted disproportional reporting measures results in false positive signals. Methods We proposed a data mining strategy to improve hypothesis generation with respect to potential associations. Results By numerous examples, we illustrate that our strategy controls the false positive signals. We implemented a free online tool, AERS spider (www.chemoprofiling.org/AERS). Conclusions We believe that AERS spider would be a valuable tool for drug safety experts.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Aers ; Data Mining ; Fda ; Pharmacoepidemiology ; Pharmacovigilance; Quantitative Signal-detection; Pharmacovigilance; Databases; Safety; Eyeballs
ISSN (print) / ISBN 1053-8569
e-ISSN 1099-1557
Quellenangaben Volume: 23, Issue: 8, Pages: 795-801 Article Number: , Supplement: ,
Publisher Wiley
Publishing Place Hoboken
Reviewing status Peer reviewed