A web-based quantitative signal detection system on adverse drug reaction in China

[1] Van Puijenbroek EP(2003)Application of quantitative signal detection in the Dutch Spontaneous Reporting System for adverse drug reactions Drug Saf 26 293-301

[2] Diemont WL(2001)Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports Pharmacoepidemiol Drug Saf 10 483-486

[3] van Grootheest K(2001)The role of data mining technology in the identification of signals of possible adverse drug reactions: value and limitations Curr Ther Res 62 664-672

[4] Evans SJW(1999)Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system Am Stat 53 177-190

[5] Waller PC(1998)A Bayesian neural network method for adverse drug reaction signal generation Eur J Clin Pharmacol 54 315-321

[6] Davis S(2002)A data mining approach for signal detection and analysis Drug Saf 25 393-397

[7] Jones JK(2003)Quantitative methods in pharmacovigilance: focus on signal detection Drug Saf 26 159-186

[8] DuMouchel W(2003)Application of data mining techniques in pharmacovigilance Br J Clin Pharmacol 57 127-134

[9] Bate A(2002)A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions Pharmacoepidemiol Drug Saf 11 3-10

[10] Lindquist M(2008)A comparison of measures of disproportionality for signal detection on adverse drug reaction spontaneous reporting database of Guangdong province in China Pharmacoepidemiol Drug Saf 17 593-600

[1] Van Puijenbroek EP(2003)Application of quantitative signal detection in the Dutch Spontaneous Reporting System for adverse drug reactions Drug Saf 26 293-301

[2] Diemont WL(2001)Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports Pharmacoepidemiol Drug Saf 10 483-486

[3] van Grootheest K(2001)The role of data mining technology in the identification of signals of possible adverse drug reactions: value and limitations Curr Ther Res 62 664-672

[4] Evans SJW(1999)Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system Am Stat 53 177-190

[5] Waller PC(1998)A Bayesian neural network method for adverse drug reaction signal generation Eur J Clin Pharmacol 54 315-321

[6] Davis S(2002)A data mining approach for signal detection and analysis Drug Saf 25 393-397

[7] Jones JK(2003)Quantitative methods in pharmacovigilance: focus on signal detection Drug Saf 26 159-186

[8] DuMouchel W(2003)Application of data mining techniques in pharmacovigilance Br J Clin Pharmacol 57 127-134

[9] Bate A(2002)A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions Pharmacoepidemiol Drug Saf 11 3-10

[10] Lindquist M(2008)A comparison of measures of disproportionality for signal detection on adverse drug reaction spontaneous reporting database of Guangdong province in China Pharmacoepidemiol Drug Saf 17 593-600