Disproportionality analysis using empirical Bayes data mining: a tool for the evaluation of drug interactions in the post‐marketing setting
- 18 July 2003
- journal article
- other
- Published by Wiley in Pharmacoepidemiology and Drug Safety
- Vol. 12 (6) , 517-521
- https://doi.org/10.1002/pds.885
Abstract
No abstract availableThis publication has 13 references indexed in Scilit:
- Application of Quantitative Signal Detection in the Dutch Spontaneous Reporting System for Adverse Drug ReactionsDrug Safety, 2003
- Improving Recognition of Drug InteractionsMedical Care, 2002
- On the assessment of adverse drug reactions from spontaneous reporting systems: the influence of under‐reporting on odds ratiosStatistics in Medicine, 2002
- Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reportsPharmacoepidemiology and Drug Safety, 2001
- A Retrospective Evaluation of a Data Mining Approach to Aid Finding New Adverse Drug Reaction Signals in the WHO International DatabaseDrug Safety, 2000
- Bayesian Data Mining in Large Frequency Tables, with an Application to the FDA Spontaneous Reporting SystemThe American Statistician, 1999
- The Effects of Slow Channel Blockers and Beta Blockers on Atrioventricular Nodal ConductionThe Journal of Clinical Pharmacology, 1988
- Differential cardiovascular effects of calcium channel blocking agents: Potential mechanismsThe American Journal of Cardiology, 1982
- Electrophysiological Actions of Calcium Antagonists in the HeartCardiology, 1982
- Drug Interactions and the Prepared ObserverNew England Journal of Medicine, 1981