Marie Lindquist
Marie Lindquist
Director, Uppsala Monitoring Centre
Verified email at - Homepage
Cited by
Cited by
A Bayesian neural network method for adverse drug reaction signal generation
A Bate, M Lindquist, IR Edwards, S Olsson, R Orre, A Lansner, ...
European journal of clinical pharmacology 54, 315-321, 1998
A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions
EP van Puijenbroek, A Bate, HGM Leufkens, M Lindquist, R Orre, ...
Pharmacoepidemiology and drug safety 11 (1), 3-10, 2002
VigiBase, the WHO global ICSR database system: basic facts
M Lindquist
Drug Information Journal 42 (5), 409-419, 2008
Antipsychotic drugs and heart muscle disorder in international pharmacovigilance: data mining study
DM Coulter, A Bate, RHB Meyboom, M Lindquist, IR Edwards
Bmj 322 (7296), 1207-1209, 2001
A retrospective evaluation of a data mining approach to aid finding new adverse drug reaction signals in the WHO international database
M Lindquist, M Sthl, A Bate, IR Edwards, RHB Meyboom
Drug safety 23, 533-542, 2000
An ABC of drug-related problems
RHB Meyboom, M Lindquist, ACG Egberts
Drug safety 22, 415-423, 2000
A data mining approach for signal detection and analysis
A Bate, M Lindquist, IR Edwards, R Orre
Drug safety 25, 393-397, 2002
vigiGrade: a tool to identify well-documented individual case reports and highlight systematic data quality issues
T Bergvall, GN Norn, M Lindquist
Drug safety 37, 65-77, 2014
Quality criteria for early signals of possible adverse drug reactions
IR Edwards, M Lindquist, BE Wiholm, E Napke
The Lancet 336 (8708), 156-158, 1990
Risks of non-sedating antihistamines
M Lindquist, IR Edwards
The Lancet 349 (9061), 1322, 1997
International monitoring of adverse health effects associated with herbal medicines
MH Farah, R Edwards, M Lindquist, C Leon, D Shaw
Pharmacoepidemiology and drug safety 9 (2), 105-112, 2000
Bayesian neural networks with confidence estimations applied to data mining
R Orre, A Lansner, A Bate, M Lindquist
Computational Statistics & Data Analysis 34 (4), 473-493, 2000
Signal selection and follow-up in pharmacovigilance
RHB Meyboom, M Lindquist, ACG Egberts, IR Edwards
Drug safety 25, 459-465, 2002
The association between antidepressant use and disturbances in glucose homeostasis: evidence from spontaneous reports
HJ Derijks, RHB Meyboom, ER Heerdink, FHP De Koning, R Janknegt, ...
European journal of clinical pharmacology 64, 531-538, 2008
Withdrawal reactions with selective serotonin re-uptake inhibitors as reported to the WHO system
MMS Stahl, M Lindquist, M Pettersson, IR Edwards, JH Sanderson, ...
European journal of clinical pharmacology 53, 163-169, 1997
From association to alert—a revised approach to international signal analysis
M Lindquist, IR Edwards, A Bate, H Fucik, AM Nunes, M Sthl
Pharmacoepidemiology and drug safety 8 (S1), S15-S25, 1999
The application of knowledge discovery in databases to post‐marketing drug safety: example of the WHO database
A Bate, M Lindquist, IR Edwards
Fundamental & clinical pharmacology 22 (2), 127-140, 2008
Data quality management in pharmacovigilance
M Lindquist
Drug safety 27 (12), 857-870, 2004
Data-mining analyses of pharmacovigilance signals in relation to relevant comparison drugs
A Bate, M Lindquist, R Orre, I Edwards, R Meyboom
European journal of clinical pharmacology 58, 483-490, 2002
The WHO Programme for International Drug Monitoring, its database, and the technical support of the Uppsala Monitoring Center.
M Lindquist, IR Edwards
The Journal of rheumatology 28 (5), 1180-1187, 2001
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