AERS spider: an online interactive tool to mine statistical associations in Adverse Event Reporting System
Article first published online: 12 FEB 2014
Copyright © 2014 John Wiley & Sons, Ltd.
Pharmacoepidemiology and Drug Safety
Volume 23, Issue 8, pages 795–801, August 2014
How to Cite
2014), AERS spider: an online interactive tool to mine statistical associations in Adverse Event Reporting System, Pharmacoepidemiol Drug Saf, 23: 795–801. DOI: 10.1002/pds.3561, , , and , (
- Issue published online: 28 JUL 2014
- Article first published online: 12 FEB 2014
- Manuscript Accepted: 3 DEC 2013
- Manuscript Revised: 28 OCT 2013
- Manuscript Received: 7 JUN 2013
- data mining;
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.
We proposed a data mining strategy to improve hypothesis generation with respect to potential associations.
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).
We believe that AERS spider would be a valuable tool for drug safety experts. Copyright © 2014 John Wiley & Sons, Ltd.