statistical signal detection
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Drug Safety ◽  
2020 ◽  
Vol 43 (10) ◽  
pp. 999-1009 ◽  
Author(s):  
Lovisa Sandberg ◽  
Henric Taavola ◽  
Yasunori Aoki ◽  
Rebecca Chandler ◽  
G. Niklas Norén

Drug Safety ◽  
2018 ◽  
Vol 41 (12) ◽  
pp. 1355-1369 ◽  
Author(s):  
Ola Caster ◽  
Juergen Dietrich ◽  
Marie-Laure Kürzinger ◽  
Magnus Lerch ◽  
Simon Maskell ◽  
...  

2018 ◽  
Vol 7 (2.31) ◽  
pp. 122
Author(s):  
G V. Sriramakrishnan ◽  
M Muthu Selvam ◽  
K Mariappan ◽  
G Suseendran

Pharmacovigilance programmes monitor and help safeguarding the use of medicines which is grave to the success of public health programmes. Identifying new possible risks and developing risk minimization action plans to prevent or ease these risks is at the heart of all pharmacovigilance activities throughout the product lifecycle.  In this paper we examine the use of data mining algorithms to identify signals from adverse events reported. The capabilities include screening, data mining and frequency tabulation for potential signals, including signal estimation using established statistical signal detection methods. We have standard processes, algorithms and follow current requirements for signal detection and risk management activities.


2017 ◽  
Vol 26 (8) ◽  
pp. 1006-1010 ◽  
Author(s):  
Ola Caster ◽  
Lovisa Sandberg ◽  
Tomas Bergvall ◽  
Sarah Watson ◽  
G. Niklas Norén

Drug Safety ◽  
2015 ◽  
Vol 38 (6) ◽  
pp. 577-587 ◽  
Author(s):  
Gianmario Candore ◽  
Kristina Juhlin ◽  
Katrin Manlik ◽  
Bharat Thakrar ◽  
Naashika Quarcoo ◽  
...  

Drug Safety ◽  
2014 ◽  
Vol 37 (8) ◽  
pp. 617-628 ◽  
Author(s):  
Ola Caster ◽  
Kristina Juhlin ◽  
Sarah Watson ◽  
G. Niklas Norén

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