A
Andrew Bate
Researcher at Pfizer
Publications - 107
Citations - 6198
Andrew Bate is an academic researcher from Pfizer. The author has contributed to research in topics: Pharmacovigilance & Medicine. The author has an hindex of 36, co-authored 89 publications receiving 5221 citations. Previous affiliations of Andrew Bate include Umeå University & Uppsala Monitoring Centre.
Papers
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Journal ArticleDOI
A Bayesian neural network method for adverse drug reaction signal generation
Andrew Bate,Marie Lindquist,I. R. Edwards,Sten Olsson,Roland Orre,Anders Lansner,R.M. De Freitas +6 more
TL;DR: The BCPNN will be an extremely useful adjunct to the expert assessment of very large numbers of spontaneously reported ADRs, and can be used in the detection of significant signals from the data set of the WHO Programme on International Drug Monitoring.
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A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions.
Eugène van Puijenbroek,Andrew Bate,Andrew Bate,Hubert G. M. Leufkens,Marie Lindquist,Roland Orre,Antoine C. G. Egberts +6 more
TL;DR: The objective of this study is to examine the level of concordance of the various estimates to the measure used by the WHO Collaborating Centre for International ADR monitoring, the information component (IC), when applied to the dataset of the Netherlands Pharmacovigilance Foundation Lareb.
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Quantitative signal detection using spontaneous ADR reporting.
TL;DR: The role of Bayesian shrinkage in screening spontaneous reports, the importance of changes over time in screening the properties of the measures and some suggestions as to where emerging research is likely to lead are given.
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Selective serotonin reuptake inhibitors in pregnant women and neonatal withdrawal syndrome: a database analysis
TL;DR: SSRIs, especially paroxetine, should be cautiously managed in the treatment of pregnant women with a psychiatric disorder, and use of these drugs in pregnant women might cause neonatal withdrawal syndrome.
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Antipsychotic drugs and heart muscle disorder in international pharmacovigilance: data mining study
TL;DR: The study shows the potential of bayesian neural networks in analysing data on drug safety by examining the relation between antipsychotic drugs and myocarditis and cardiomyopathy using bayesian statistics implemented in a neural network architecture.