105 related articles for article (PubMed ID: 22290739)
1. A shrinkage-based comparative assessment of observed-to-expected disproportionality measures.
Gipson G
Pharmacoepidemiol Drug Saf; 2012 Jun; 21(6):589-96. PubMed ID: 22290739
[TBL] [Abstract][Full Text] [Related]
2. Exploration of statistical shrinkage parameters of disproportionality methods in spontaneous reporting system of China.
Wang J; Ye XF; Guo XJ; Zhu TT; Qi N; Hou YF; Zhang TY; Shi WT; Wei X; Liu YZ; Wu GZ; He J
Pharmacoepidemiol Drug Saf; 2015 Sep; 24(9):962-70. PubMed ID: 26095121
[TBL] [Abstract][Full Text] [Related]
3. Are all quantitative postmarketing signal detection methods equal? Performance characteristics of logistic regression and Multi-item Gamma Poisson Shrinker.
Berlin C; Blanch C; Lewis DJ; Maladorno DD; Michel C; Petrin M; Sarp S; Close P
Pharmacoepidemiol Drug Saf; 2012 Jun; 21(6):622-30. PubMed ID: 21994119
[TBL] [Abstract][Full Text] [Related]
4. Statistical and graphical approaches for disproportionality analysis of spontaneously-reported adverse events in pharmacovigilance.
Zink RC; Huang Q; Zhang LY; Bao WJ
Chin J Nat Med; 2013 May; 11(3):314-20. PubMed ID: 23725848
[TBL] [Abstract][Full Text] [Related]
5. A comparison of measures of disproportionality for signal detection on adverse drug reaction spontaneous reporting database of Guangdong province in China.
Li C; Xia J; Deng J; Jiang J
Pharmacoepidemiol Drug Saf; 2008 Jun; 17(6):593-600. PubMed ID: 18432629
[TBL] [Abstract][Full Text] [Related]
6. Mining pharmacovigilance data using Bayesian logistic regression with James-Stein type shrinkage estimation.
An L; Fung KY; Krewski D
J Biopharm Stat; 2010 Sep; 20(5):998-1012. PubMed ID: 20721787
[TBL] [Abstract][Full Text] [Related]
7. Quantitative signal detection using spontaneous ADR reporting.
Bate A; Evans SJ
Pharmacoepidemiol Drug Saf; 2009 Jun; 18(6):427-36. PubMed ID: 19358225
[TBL] [Abstract][Full Text] [Related]
8. A conceptual approach to the masking effect of measures of disproportionality.
Maignen F; Hauben M; Hung E; Holle LV; Dogne JM
Pharmacoepidemiol Drug Saf; 2014 Feb; 23(2):208-17. PubMed ID: 24243699
[TBL] [Abstract][Full Text] [Related]
9. Applying quantitative methods for detecting new drug safety signals in pharmacovigilance national database.
Shalviri G; Mohammad K; Majdzadeh R; Gholami K
Pharmacoepidemiol Drug Saf; 2007 Oct; 16(10):1136-40. PubMed ID: 17705214
[TBL] [Abstract][Full Text] [Related]
10. Bayesian pharmacovigilance signal detection methods revisited in a multiple comparison setting.
Ahmed I; Haramburu F; Fourrier-Réglat A; Thiessard F; Kreft-Jais C; Miremont-Salamé G; Bégaud B; Tubert-Bitter P
Stat Med; 2009 Jun; 28(13):1774-92. PubMed ID: 19360795
[TBL] [Abstract][Full Text] [Related]
11. An evaluation of computer-aided disproportionality analysis for post-marketing signal detection.
Lehman HP; Chen J; Gould AL; Kassekert R; Beninger PR; Carney R; Goldberg M; Goss MA; Kidos K; Sharrar RG; Shields K; Sweet A; Wiholm BE; Honig PK
Clin Pharmacol Ther; 2007 Aug; 82(2):173-80. PubMed ID: 17507922
[TBL] [Abstract][Full Text] [Related]
12. A potential competition bias in the detection of safety signals from spontaneous reporting databases.
Pariente A; Didailler M; Avillach P; Miremont-Salamé G; Fourrier-Reglat A; Haramburu F; Moore N
Pharmacoepidemiol Drug Saf; 2010 Nov; 19(11):1166-71. PubMed ID: 20848561
[TBL] [Abstract][Full Text] [Related]
13. A comparison of disproportionality analysis methods in national adverse drug reaction databases of China.
Hou Y; Ye X; Wu G; Cheng G; Du X; He J
Expert Opin Drug Saf; 2014 Jul; 13(7):853-7. PubMed ID: 24918197
[TBL] [Abstract][Full Text] [Related]
14. The association of pancreatitis with antidiabetic drug use: gaining insight through the FDA pharmacovigilance database.
Raschi E; Piccinni C; Poluzzi E; Marchesini G; De Ponti F
Acta Diabetol; 2013 Aug; 50(4):569-77. PubMed ID: 22008948
[TBL] [Abstract][Full Text] [Related]
15. A knowledge based approach for automated signal generation in pharmacovigilance.
Henegar C; Bousquet C; Lillo-Le Louët A; Degoulet P; Jaulent MC
Stud Health Technol Inform; 2004; 107(Pt 1):626-30. PubMed ID: 15360888
[TBL] [Abstract][Full Text] [Related]
16. Bayesian hierarchical modeling for detecting safety signals in clinical trials.
Xia HA; Ma H; Carlin BP
J Biopharm Stat; 2011 Sep; 21(5):1006-29. PubMed ID: 21830928
[TBL] [Abstract][Full Text] [Related]
17. Impact of stratification on adverse drug reaction surveillance.
Hopstadius J; Norén GN; Bate A; Edwards IR
Drug Saf; 2008; 31(11):1035-48. PubMed ID: 18840023
[TBL] [Abstract][Full Text] [Related]
18. Potential for linezolid-related blindness: a review of spontaneous adverse event reports.
Brown J; Aitken SL; van Manen RP
Pharmacotherapy; 2011 Jun; 31(6):585-90. PubMed ID: 21923442
[TBL] [Abstract][Full Text] [Related]
19. A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions.
van Puijenbroek EP; Bate A; Leufkens HG; Lindquist M; Orre R; Egberts AC
Pharmacoepidemiol Drug Saf; 2002; 11(1):3-10. PubMed ID: 11998548
[TBL] [Abstract][Full Text] [Related]
20. Comparison of statistical signal detection methods within and across spontaneous reporting databases.
Candore G; Juhlin K; Manlik K; Thakrar B; Quarcoo N; Seabroke S; Wisniewski A; Slattery J
Drug Saf; 2015 Jun; 38(6):577-87. PubMed ID: 25899605
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]