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Drug Safety
Published in: Drug Safety 5/2003

01-04-2003 | Correspondence

The authors’ reply

Authors: Andrew Bate, Ralph I. Edwards, Marie Lindquist, Roland Orre

Published in: Drug Safety | Issue 5/2003

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Excerpt

We thank Lilienfeld et al. for commenting on an article discussing the Bayesian confidence propagation neural network (BCPNN) as presented at the Drug Safety Research Unit (DSRU) signal detection conference[1] and proposing stratification in the BCPNN analysis of the WHO Adverse Drug Reaction database. …
Literature
1.
Bate A, Lindquist M, Edwards IR, et al. A data mining approach for signal detection and analysis. Drug Saf 2002; 25(6): 393–7PubMedCrossRef
2.
Lindquist M, Stahl M, Bate A, et al. A retrospective evaluation of a data mining approach to aid finding new adverse drug reaction signals in the WHO international database. Drug Saf 2000; 23(6): 533–42PubMedCrossRef
3.
Orre R, Lansner A, Bate A, et al. Bayesian neural networks with confidence estimations applied to data mining. Computational Statistics Data Anal 2000; 34(8): 473–93CrossRef
4.
Bate A, Lindquist M, Orre R, et al. Data-mining analyses of pharmacovigilance signals in relation to relevant comparison drugs. Eur J Clin Pharmacol 2002; 58(7): 483–90PubMedCrossRef
5.
Bate A, Lindquist M, Edwards IR, et al. A Bayesian neural network method for adverse drug reaction signal generation. Eur J Clin Pharmacol 1998; 54(4): 315–21PubMedCrossRef
6.
Lindquist M, Edwards IR, Stahl M, et al. The effect of different strategies of signal finding in WHO International ADR data [abstract L14]. Proceedings of the International Society of Pharmacovigilance (IsoP) Conference; 2001 Oct 17-21: Tunis
7.
Bate A, Orre R, Lindquist M, et al. Pattern recognition using a recurrent neural network and its application to the WHO database [abstract]. Pharmacoepidemiol Drug Saf 2001; 10(S1): S163
Metadata
Title
The authors’ reply
Authors
Andrew Bate
Ralph I. Edwards
Marie Lindquist
Roland Orre
Publication date
01-04-2003
Publisher
Springer International Publishing
Published in
Drug Safety / Issue 5/2003
Print ISSN: 0114-5916
Electronic ISSN: 1179-1942
DOI
https://doi.org/10.2165/00002018-200326050-00006

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