Authors' Reply to Alain Braillon's Comment on "The Contribution of National Spontaneous Reporting Systems to Detect Signals of Torsadogenicity: Issues Emerging from the ARITMO Project"
Overview
Overview
Authors
Affiliations
Affiliations
Soon will be listed here.
References
1.
Macia-Martinez M, de Abajo F, Roberts G, Slattery J, Thakrar B, Wisniewski A
. An Empirical Approach to Explore the Relationship Between Measures of Disproportionate Reporting and Relative Risks from Analytical Studies. Drug Saf. 2015; 39(1):29-43.
DOI: 10.1007/s40264-015-0351-3.
View
2.
Poluzzi E, Raschi E, Moretti U, De Ponti F
. Drug-induced torsades de pointes: data mining of the public version of the FDA Adverse Event Reporting System (AERS). Pharmacoepidemiol Drug Saf. 2009; 18(6):512-8.
DOI: 10.1002/pds.1746.
View
3.
Arnaud M, Salvo F, Ahmed I, Robinson P, Moore N, Begaud B
. A Method for the Minimization of Competition Bias in Signal Detection from Spontaneous Reporting Databases. Drug Saf. 2015; 39(3):251-60.
DOI: 10.1007/s40264-015-0375-8.
View
4.
Raschi E, Poluzzi E, Salvo F, Koci A, Suling M, Antoniazzi S
. The Contribution of National Spontaneous Reporting Systems to Detect Signals of Torsadogenicity: Issues Emerging from the ARITMO Project. Drug Saf. 2015; 39(1):59-68.
PMC: 4712251.
DOI: 10.1007/s40264-015-0353-1.
View
5.
Poluzzi E, Raschi E, Koci A, Moretti U, Spina E, Behr E
. Antipsychotics and torsadogenic risk: signals emerging from the US FDA Adverse Event Reporting System database. Drug Saf. 2013; 36(6):467-79.
PMC: 3664739.
DOI: 10.1007/s40264-013-0032-z.
View