Effect of reporting bias in the analysis of spontaneous reporting data
Author:
Affiliation:
1. Centre for Quantitative Medicine; Duke-NUS Graduate Medical School; Singapore
2. Applied Statistics Unit; Indian Statistical Institute; Kolkata India
Publisher
Wiley
Subject
Pharmacology (medical),Pharmacology,Statistics and Probability
Reference10 articles.
1. Analysis of spontaneous adverse drug reaction (ADR) reports using supplementary information;Ghosh;Statistics in Medicine,2011
2. Evaluation of statistical association measures for the automatic signal generation in pharmacovigilance;Roux;IEEE Transactions on Information Technology in Biomedicine,2005
3. A Bayesian neural network method for adverse drug reaction signal generation;Bate;European Journal of Clinical Pharmacology,1998
4. Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system;DuMouchel;American Statistician,1999
5. Quantitative signal detection using spontaneous ADR reporting;Bate;Pharmacoepidemiology and Drug Safety,2009
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