A supervised adverse drug reaction signalling framework imitating Bradford Hill’s causality considerations

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A supervised adverse drug reaction signalling framework imitating Bradford Hill’s causality considerations

Big longitudinal observational medical data potentially hold a wealth of information and have been recognised as potential sources for gaining new drug safety knowledge. Unfortunately there are many complexities and underlying issues when analysing longitudinal observational data. Due to these compl...

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Bibliographic Details
Main Authors:	Reps, Jenna M., Garibaldi, Jonathan M., Aickelin, Uwe, Gibson, Jack E., Hubbard, Richard B.
Format:	Article
Published:	Elsevier 2015
Subjects:	Big data; Pharmacovigilance; Longitudinal observational data; Causal effects; Signal detection
Online Access:	https://eprints.nottingham.ac.uk/30450/

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