1Alvarez Yv Hidalgo Av Maignen F.etal. Validation of statisti?cal signal detection procedures in eudravigilance post-authoriza?tion data: a retrospective evaluation of the potential for earlier signaling[J]. Drug Saf, 2010,33(6) :475-487.
2Tuccori M, Lapi F. Testi A,et al. Drug-induced taste and smell alterations: a case/non-case evaluation of an italian database of spontaneous adverse drug reaction reporting[J]. Drug Saf, 2011,34(10) :849-859.
3Bate A. Bayesian confidence propagation neural network[J]. Drug Saf , 2007, 30 (7): 623-625.
4DuMouchel W, Smith ET, Beasley R, et at. Association of asthma therapy and Churg-Strauss syndrome: an analysis of postmarketing surveillance data[J]. Clin Ther. 2004, 26 (7): 1092-1104.
5Poluzzi E, Raschi E, Motola D. Antimicrobials and the risk of torsades de pointes the contribution from data mining of the US FDA adverse event reporting system[]]. Drug Saf , 2010, 33 (4): 303-314.
6KimJ, KimM, HaJH, etal. Signaldetectionofmethylpheni?date by comparing a spontaneous reporting database with a claimsdatabase[J]. Regul Toxicol Pharmacol, 2011,61(2): 154-160.
7Crooks CJ, Prieto - Merino D, Evans SJ. Identifying adverse e?vents of vaccines using a bayesian method of medica'iiy guided information sharing[J]. Drug Saf, 2012, 35 (1): 61-7R.
8Specenier P, Koppen C, VermorkenJB. Diffuse punctuate ker?atitis in a patient treated with cetuximab as monotherapy[J]. Ann Oncol. 2007, 18: 961-962.
9Kubota K, Koide D , Hirai T. Comparison of data mining met hodologies usingJapanese spontaneous reports[J]. Pharmaco?epidemiol Drug Saf ,2004,13(6) :387-394.
