메뉴 건너뛰기




Volumn 25, Issue 21, 2006, Pages 3740-3757

Extending the methods used to screen the WHO drug safety database towards analysis of complex associations and improved accuracy for rare events

Author keywords

Adverse drug reactions; Exploratory analysis; Pharmacovigilance

Indexed keywords

CAPTOPRIL; KETOCONAZOLE; ORAL POLIOMYELITIS VACCINE; TERFENADINE;

EID: 33750336301     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2473     Document Type: Article
Times cited : (147)

References (37)
  • 1
    • 0034672296 scopus 로고    scopus 로고
    • Pharmacovigilance: A science or fielding emergencies?
    • Evans SJ. Pharmacovigilance: a science or fielding emergencies? Statistics in Medicine 2000; 19(23): 3199-3209.
    • (2000) Statistics in Medicine , vol.19 , Issue.23 , pp. 3199-3209
    • Evans, S.J.1
  • 2
    • 0032776168 scopus 로고    scopus 로고
    • Spontaneous reporting - Of what? Clinical concerns about drugs
    • Edwards IR. Spontaneous reporting - of what? Clinical concerns about drugs. British Journal of Clinical Pharmacology 1999; 48(2):138-141.
    • (1999) British Journal of Clinical Pharmacology , vol.48 , Issue.2 , pp. 138-141
    • Edwards, I.R.1
  • 3
    • 0033948638 scopus 로고    scopus 로고
    • Spontaneous ADR reporting and drug safety signal induction in perspective. To honour Professor Jens Schou
    • Edwards IR. Spontaneous ADR reporting and drug safety signal induction in perspective. To honour Professor Jens Schou. Pharmacology and Toxicology 2000; 86(s1):16-19.
    • (2000) Pharmacology and Toxicology , vol.86 , Issue.SUPPL. 1 , pp. 16-19
    • Edwards, I.R.1
  • 4
    • 0023925775 scopus 로고
    • Spontaneous reporting of adverse drug reactions. I: The data
    • Rawlins MD. Spontaneous reporting of adverse drug reactions. I: the data. British Journal of Clinical Pharmacology 1988; 26(1):1-5.
    • (1988) British Journal of Clinical Pharmacology , vol.26 , Issue.1 , pp. 1-5
    • Rawlins, M.D.1
  • 5
    • 0023928193 scopus 로고
    • Spontaneous reporting of adverse drug reactions. II: Uses
    • Rawlins MD. Spontaneous reporting of adverse drug reactions. II: uses. British Journal of Clinical Pharmacology 1988; 26(1):7-11.
    • (1988) British Journal of Clinical Pharmacology , vol.26 , Issue.1 , pp. 7-11
    • Rawlins, M.D.1
  • 6
    • 0141770756 scopus 로고    scopus 로고
    • WHO Programme - Global monitoring
    • In Mann RD, Andrews EB (eds). Wiley: Chichester
    • Edwards IR, Olsson S. WHO Programme - global monitoring. In Pharmacovigilance, Mann RD, Andrews EB (eds). Wiley: Chichester, 2002; 169-182.
    • (2002) Pharmacovigilance , pp. 169-182
    • Edwards, I.R.1    Olsson, S.2
  • 8
    • 0038931405 scopus 로고    scopus 로고
    • Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting systems
    • DuMouchel W. Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting systems. American Statistician 1999; 54:177-202.
    • (1999) American Statistician , vol.54 , pp. 177-202
    • DuMouchel, W.1
  • 9
    • 0035700740 scopus 로고    scopus 로고
    • Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports
    • Evans SJ, Waller PC, Davis S. Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports. Pharmacoepidemiology and Drug Safety 2001; 10(6):483-486.
    • (2001) Pharmacoepidemiology and Drug Safety , vol.10 , Issue.6 , pp. 483-486
    • Evans, S.J.1    Waller, P.C.2    Davis, S.3
  • 10
    • 0037199381 scopus 로고    scopus 로고
    • On the assessment of adverse drug reactions from spontaneous reporting systems: The influence of under-reporting on odds ratios
    • van der Heijden PG, van Puijenbroek EP, van Buuren S, van der Hofstede JW. On the assessment of adverse drug reactions from spontaneous reporting systems: the influence of under-reporting on odds ratios. Statistics in Medicine 2002; 21(14):2027-2044.
    • (2002) Statistics in Medicine , vol.21 , Issue.14 , pp. 2027-2044
    • van der Heijden, P.G.1    van Puijenbroek, E.P.2    van Buuren, S.3    van der Hofstede, J.W.4
  • 11
    • 0023723842 scopus 로고
    • A statistical methodology for postmarketing surveillance of adverse drug reaction reports
    • Norwood PK, Sampson AR. A statistical methodology for postmarketing surveillance of adverse drug reaction reports. Statistics in Medicine 1988; 7(10):1023-1030.
    • (1988) Statistics in Medicine , vol.7 , Issue.10 , pp. 1023-1030
    • Norwood, P.K.1    Sampson, A.R.2
  • 12
    • 0027757024 scopus 로고
    • Alert systems for post-marketing surveillance of adverse drug reactions
    • Praus M, Schindel F, Fescharek R, Schwarz S. Alert systems for post-marketing surveillance of adverse drug reactions. Statistics in Medicine 1993; 12(24):2383-2393.
    • (1993) Statistics in Medicine , vol.12 , Issue.24 , pp. 2383-2393
    • Praus, M.1    Schindel, F.2    Fescharek, R.3    Schwarz, S.4
  • 14
    • 0034530769 scopus 로고    scopus 로고
    • A retrospective evaluation of a data mining approach to aid finding new adverse drug reaction signals in the WHO international database
    • Lindquist M, Ståhl M, Bate A, Edwards IR, Meyboom RH. A retrospective evaluation of a data mining approach to aid finding new adverse drug reaction signals in the WHO international database. Drug Safety 2000; 23(6): 533-542.
    • (2000) Drug Safety , vol.23 , Issue.6 , pp. 533-542
    • Lindquist, M.1    Ståhl, M.2    Bate, A.3    Edwards, I.R.4    Meyboom, R.H.5
  • 18
    • 2942739137 scopus 로고    scopus 로고
    • Introducing triage logic as a new strategy for the detection of signals in the WHO drug monitoring database
    • Ståhl M, Lindquist M, Edwards IR, Brown EG. Introducing triage logic as a new strategy for the detection of signals in the WHO drug monitoring database. Drug Safety 2004; 13(6):355-363.
    • (2004) Drug Safety , vol.13 , Issue.6 , pp. 355-363
    • Ståhl, M.1    Lindquist, M.2    Edwards, I.R.3    Brown, E.G.4
  • 19
    • 19244382600 scopus 로고    scopus 로고
    • The usefulness and use of signals from the WHO database by national pharmacovigilance centres - Results from a questionnaire
    • Ståhl M, Edwards IR, Bowring G, Kiuru A, Lindquist M. The usefulness and use of signals from the WHO database by national pharmacovigilance centres - results from a questionnaire. Drug Safety 2003; 26(10): 721-727.
    • (2003) Drug Safety , vol.26 , Issue.10 , pp. 721-727
    • Ståhl, M.1    Edwards, I.R.2    Bowring, G.3    Kiuru, A.4    Lindquist, M.5
  • 20
    • 0035912544 scopus 로고    scopus 로고
    • Antipsychotic drugs and heart muscle disorder in international pharmacovigilance: Data mining study
    • Coulter DM, Bate A, Meyboom RH, Lindquist M, Edwards IR. Antipsychotic drugs and heart muscle disorder in international pharmacovigilance: data mining study. British Medical Journal 2001; 322(7296):1207-1209.
    • (2001) British Medical Journal , vol.322 , Issue.7296 , pp. 1207-1209
    • Coulter, D.M.1    Bate, A.2    Meyboom, R.H.3    Lindquist, M.4    Edwards, I.R.5
  • 21
    • 13444252680 scopus 로고    scopus 로고
    • Selective serotonin reuptake inhibitors in pregnant women and neonatal withdrawal syndrome: A database analysis
    • Sanz EJ, De-las-Cuevas C, Kiuru A, Bate A, Edwards IR. Selective serotonin reuptake inhibitors in pregnant women and neonatal withdrawal syndrome: a database analysis. Lancet 2005; 365:482-487.
    • (2005) Lancet , vol.365 , pp. 482-487
    • Sanz, E.J.1    De-las-Cuevas, C.2    Kiuru, A.3    Bate, A.4    Edwards, I.R.5
  • 22
    • 0002037186 scopus 로고
    • A one-layer feedback artificial neural network with a Bayesian learning rule
    • Lansner A, Ekeberg Ö. A one-layer feedback artificial neural network with a Bayesian learning rule. International Journal of Neural Systems 1989; 1:77-87.
    • (1989) International Journal of Neural Systems , vol.1 , pp. 77-87
    • Lansner, A.1    Ekeberg, Ö.2
  • 24
    • 14844362013 scopus 로고    scopus 로고
    • Pulp quality modelling using Bayesian mixture density neural networks
    • Orre R, Lansner A. Pulp quality modelling using Bayesian mixture density neural networks. Journal of Systems Engineering 1996; 6:128-136.
    • (1996) Journal of Systems Engineering , vol.6 , pp. 128-136
    • Orre, R.1    Lansner, A.2
  • 26
    • 14844360937 scopus 로고    scopus 로고
    • Case based imprecision estimates for Bayes classifiers with the Bayesian bootstrap
    • Norén GN, Orre R. Case based imprecision estimates for Bayes classifiers with the Bayesian bootstrap. Machine Learning 2005; 58:79-94.
    • (2005) Machine Learning , vol.58 , pp. 79-94
    • Norén, G.N.1    Orre, R.2
  • 27
    • 33750321466 scopus 로고    scopus 로고
    • A Monte Carlo method for Bayesian dependency derivation
    • Master's Thesis, Chalmers University of Technology
    • Norén N. A Monte Carlo method for Bayesian dependency derivation. Master's Thesis, Chalmers University of Technology, 2002.
    • (2002)
    • Norén, N.1
  • 29
    • 33750380535 scopus 로고    scopus 로고
    • Statistics of the information component in Bayesian neural networks
    • Technical Report, Department of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden
    • Koski T, Orre R. Statistics of the information component in Bayesian neural networks. Technical Report, Department of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden, 1998.
    • (1998)
    • Koski, T.1    Orre, R.2
  • 31
    • 84959801619 scopus 로고
    • Statistical aspects of the analysis of data from retrospective studies of disease
    • Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. Journal of the National Cancer Institute 1959; 22:719-748.
    • (1959) Journal of the National Cancer Institute , vol.22 , pp. 719-748
    • Mantel, N.1    Haenszel, W.2
  • 32
    • 0141729306 scopus 로고    scopus 로고
    • Practical pharmacovigilance analysis strategies
    • Gould L. Practical pharmacovigilance analysis strategies. Pharmacoepidemiology and Drug Safety 2003; 12: 559-574.
    • (2003) Pharmacoepidemiology and Drug Safety , vol.12 , pp. 559-574
    • Gould, L.1
  • 33
    • 26944475024 scopus 로고    scopus 로고
    • Violation of homogeneity: A methodological issue in the use of data mining tools
    • The authors' reply
    • Bate A, Edwards IR, Lindquist M, Orre R. Violation of homogeneity: a methodological issue in the use of data mining tools. The authors' reply. Drug Safety 2003; 26(5):363-366.
    • (2003) Drug Safety , vol.26 , Issue.5 , pp. 363-366
    • Bate, A.1    Edwards, I.R.2    Lindquist, M.3    Orre, R.4
  • 35
    • 0032955382 scopus 로고    scopus 로고
    • Signal generation for spontaneous adverse event reports
    • Amery WK. Signal generation for spontaneous adverse event reports. Pharmacoepidemiology and Drug Safety 1999; 8:147-150.
    • (1999) Pharmacoepidemiology and Drug Safety , vol.8 , pp. 147-150
    • Amery, W.K.1
  • 36
    • 0033061701 scopus 로고    scopus 로고
    • Signalling possible drug-drug interactions in a spontaneous reporting system: Delay of withdrawal bleeding during concomitant use of oral contraceptives and itraconazole
    • van Puijenbroek EP, Egberts ACG, Meyboom RHB, Leufkens HGM. Signalling possible drug-drug interactions in a spontaneous reporting system: delay of withdrawal bleeding during concomitant use of oral contraceptives and itraconazole. British Journal of Clinical Pharmacology 1999; 47:689-693.
    • (1999) British Journal of Clinical Pharmacology , vol.47 , pp. 689-693
    • van Puijenbroek, E.P.1    Egberts, A.C.G.2    Meyboom, R.H.B.3    Leufkens, H.G.M.4
  • 37
    • 33750362323 scopus 로고    scopus 로고
    • Using disproportional analysis as a tool to explore severe drug-drug interactions in AERS database
    • Yang X, Fram DM. Using disproportional analysis as a tool to explore severe drug-drug interactions in AERS database. Pharmacoepidemiology and Drug Safety 2004; 13(1):S247.
    • (2004) Pharmacoepidemiology and Drug Safety , vol.13 , Issue.1
    • Yang, X.1    Fram, D.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.