| 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 | 1204 | 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 | 1068 | 2002 |
| VigiBase, the WHO global ICSR database system: basic facts M Lindquist Drug Information Journal 42 (5), 409-419, 2008 | 586 | 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 | 376 | 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 Ståhl, A Bate, IR Edwards, RHB Meyboom Drug safety 23, 533-542, 2000 | 241 | 2000 |
| A retrospective evaluation of a data mining approach to aid finding new adverse drug reaction signals in the WHO international database M Lindquist, M Ståhl, A Bate, IR Edwards, RHB Meyboom Drug safety 23, 533-542, 2000 | 241 | 2000 |
| An ABC of drug-related problems RHB Meyboom, M Lindquist, ACG Egberts Drug safety 22, 415-423, 2000 | 220 | 2000 |
| A data mining approach for signal detection and analysis A Bate, M Lindquist, IR Edwards, R Orre Drug safety 25, 393-397, 2002 | 185 | 2002 |
| 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 | 182 | 1990 |
| vigiGrade: a tool to identify well-documented individual case reports and highlight systematic data quality issues T Bergvall, GN Norén, M Lindquist Drug safety 37, 65-77, 2014 | 176 | 2014 |
| Risks of non-sedating antihistamines M Lindquist, IR Edwards The Lancet 349 (9061), 1322, 1997 | 176 | 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 | 169 | 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 | 149 | 2000 |
| Signal selection and follow-up in pharmacovigilance RHB Meyboom, M Lindquist, ACG Egberts, IR Edwards Drug safety 25, 459-465, 2002 | 141 | 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 | 135 | 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 | 128 | 1997 |
| From association to alert—a revised approach to international signal analysis M Lindquist, IR Edwards, A Bate, H Fucik, AM Nunes, M Ståhl Pharmacoepidemiology and drug safety 8 (S1), S15-S25, 1999 | 116 | 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 | 104 | 2008 |
| Data quality management in pharmacovigilance M Lindquist Drug safety 27 (12), 857-870, 2004 | 89 | 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 | 84 | 2002 |
