Literature DB >> 17536881

'Extreme duplication' in the US FDA Adverse Events Reporting System database.

Manfred Hauben, Lester Reich, James DeMicco, Katherine Kim.   

Abstract

Mesh：

Year:  2007        PMID： 17536881     DOI： 10.2165/00002018-200730060-00009

Source DB:  PubMed          Journal:  Drug Saf        ISSN： 0114-5916            Impact factor:   5.606


× No keyword cloud information.
  4 in total

1.  Evaluation of suspected adverse drug reactions.

Authors:  Manfred Hauben; Eugène P van Puijenbroek
Journal:  JAMA       Date:  2005-03-16       Impact factor: 56.272

2.  Data mining in pharmacovigilance: the need for a balanced perspective.

Authors:  Manfred Hauben; Vaishali Patadia; Charles Gerrits; Louisa Walsh; Lester Reich
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

3.  Communication of findings in pharmacovigilance: use of the term "signal" and the need for precision in its use.

Authors:  Manfred Hauben; Lester Reich
Journal:  Eur J Clin Pharmacol       Date:  2005-07-01       Impact factor: 2.953

Review 4.  Data mining in spontaneous reports.

Authors:  Andrew Bate; I R Edwards
Journal:  Basic Clin Pharmacol Toxicol       Date:  2006-03       Impact factor: 4.080
  4 in total
  25 in total

1.  A decade of data mining and still counting.

Authors:  Manfred Hauben; G Niklas Norén
Journal:  Drug Saf       Date:  2010-07-01       Impact factor: 5.606

2.  Biclustering of adverse drug events in the FDA's spontaneous reporting system.

Authors:  R Harpaz; H Perez; H S Chase; R Rabadan; G Hripcsak; C Friedman
Journal:  Clin Pharmacol Ther       Date:  2010-12-29       Impact factor: 6.875

3.  Antimicrobials and the risk of torsades de pointes: the contribution from data mining of the US FDA Adverse Event Reporting System.

Authors:  Elisabetta Poluzzi; Emanuel Raschi; Domenico Motola; Ugo Moretti; Fabrizio De Ponti
Journal:  Drug Saf       Date:  2010-04-01       Impact factor: 5.606

4.  An experimental investigation of masking in the US FDA adverse event reporting system database.

Authors:  Hsin-wei Wang; Alan M Hochberg; Ronald K Pearson; Manfred Hauben
Journal:  Drug Saf       Date:  2010-12-01       Impact factor: 5.606

5.  Social Media Listening for Routine Post-Marketing Safety Surveillance.

Authors:  Gregory E Powell; Harry A Seifert; Tjark Reblin; Phil J Burstein; James Blowers; J Alan Menius; Jeffery L Painter; Michele Thomas; Carrie E Pierce; Harold W Rodriguez; John S Brownstein; Clark C Freifeld; Heidi G Bell; Nabarun Dasgupta
Journal:  Drug Saf       Date:  2016-05       Impact factor: 5.606

6.  Drug-versus-drug adverse event rate comparisons: a pilot study based on data from the US FDA Adverse Event Reporting System.

Authors:  Alan M Hochberg; Ronald K Pearson; Donald J O'Hara; Stephanie J Reisinger
Journal:  Drug Saf       Date:  2009       Impact factor: 5.606

7.  Traceability of biopharmaceuticals in spontaneous reporting systems: a cross-sectional study in the FDA Adverse Event Reporting System (FAERS) and EudraVigilance databases.

Authors:  Niels S Vermeer; Sabine M J M Straus; Aukje K Mantel-Teeuwisse; Francois Domergue; Toine C G Egberts; Hubert G M Leufkens; Marie L De Bruin
Journal:  Drug Saf       Date:  2013-08       Impact factor: 5.606

8.  Evaluating performance of electronic healthcare records and spontaneous reporting data in drug safety signal detection.

Authors:  Vaishali K Patadia; Martijn J Schuemie; Preciosa Coloma; Ron Herings; Johan van der Lei; Sabine Straus; Miriam Sturkenboom; Gianluca Trifirò
Journal:  Int J Clin Pharm       Date:  2014-12-09

9.  Stronger association of drug-induced progressive multifocal leukoencephalopathy (PML) with biological immunomodulating agents.

Authors:  Carlo Piccinni; Chiara Sacripanti; Elisabetta Poluzzi; Domenico Motola; Lara Magro; Ugo Moretti; Anita Conforti; Nicola Montanaro
Journal:  Eur J Clin Pharmacol       Date:  2009-10-17       Impact factor: 2.953

10.  Mining multi-item drug adverse effect associations in spontaneous reporting systems.

Authors:  Rave Harpaz; Herbert S Chase; Carol Friedman
Journal:  BMC Bioinformatics       Date:  2010-10-28       Impact factor: 3.169
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.