These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

145 related articles for article (PubMed ID: 12071775)

  • 1. A data mining approach for signal detection and analysis.
    Bate A; Lindquist M; Edwards IR; Orre R
    Drug Saf; 2002; 25(6):393-7. PubMed ID: 12071775
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bayesian confidence propagation neural network.
    Bate A
    Drug Saf; 2007; 30(7):623-5. PubMed ID: 17604417
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Violation of homogeneity: a methodologic issue in the use of data mining tools.
    Lilienfeld D; Nicholas S; Macneil D; Kurjatkin O; Gelardin T
    Drug Saf; 2003; 26(5):363-4; author reply 364-6. PubMed ID: 12650636
    [No Abstract]   [Full Text] [Related]  

  • 4. A Bayesian neural network method for adverse drug reaction signal generation.
    Bate A; Lindquist M; Edwards IR; Olsson S; Orre R; Lansner A; De Freitas RM
    Eur J Clin Pharmacol; 1998 Jun; 54(4):315-21. PubMed ID: 9696956
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Data-mining analyses of pharmacovigilance signals in relation to relevant comparison drugs.
    Bate A; Lindquist M; Orre R; Edwards IR; Meyboom RH
    Eur J Clin Pharmacol; 2002 Oct; 58(7):483-90. PubMed ID: 12389072
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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
    Drug Saf; 2000 Dec; 23(6):533-42. PubMed ID: 11144660
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Effect of reporting bias in the analysis of spontaneous reporting data.
    Ghosh P; Dewanji A
    Pharm Stat; 2015; 14(1):20-5. PubMed ID: 25376637
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Borrowing external information to improve Bayesian confidence propagation neural network.
    Tada K; Maruo K; Isogawa N; Yamaguchi Y; Gosho M
    Eur J Clin Pharmacol; 2020 Sep; 76(9):1311-1319. PubMed ID: 32488331
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Use of triage strategies in the WHO signal-detection process.
    Lindquist M
    Drug Saf; 2007; 30(7):635-7. PubMed ID: 17604420
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Comparison of data mining methodologies using Japanese spontaneous reports.
    Kubota K; Koide D; Hirai T
    Pharmacoepidemiol Drug Saf; 2004 Jun; 13(6):387-94. PubMed ID: 15170768
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A computerized system for signal detection in spontaneous reporting system of Shanghai China.
    Ye X; Fu Z; Wang H; Du W; Wang R; Sun Y; Gao Q; He J
    Pharmacoepidemiol Drug Saf; 2009 Feb; 18(2):154-8. PubMed ID: 19115240
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Criteria revision and performance comparison of three methods of signal detection applied to the spontaneous reporting database of a pharmaceutical manufacturer.
    Matsushita Y; Kuroda Y; Niwa S; Sonehara S; Hamada C; Yoshimura I
    Drug Saf; 2007; 30(8):715-26. PubMed ID: 17696584
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA's spontaneous reports database.
    Szarfman A; Machado SG; O'Neill RT
    Drug Saf; 2002; 25(6):381-92. PubMed ID: 12071774
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Signal detection of oral drug-induced dementia in chronic kidney disease patients using association rule mining and Bayesian confidence propagation neural network.
    Noguchi Y; Nagasawa H; Tachi T; Tsuchiya T; Teramachi H
    Pharmazie; 2019 Sep; 74(9):570-574. PubMed ID: 31484600
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. Comparing data mining methods on the VAERS database.
    Banks D; Woo EJ; Burwen DR; Perucci P; Braun MM; Ball R
    Pharmacoepidemiol Drug Saf; 2005 Sep; 14(9):601-9. PubMed ID: 15954077
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Data mining spontaneous adverse drug event reports for safety signals in Singapore - a comparison of three different disproportionality measures.
    Ang PS; Chen Z; Chan CL; Tai BC
    Expert Opin Drug Saf; 2016 May; 15(5):583-90. PubMed ID: 26996192
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Detecting Signals of Disproportionate Reporting from Singapore's Spontaneous Adverse Event Reporting System: An Application of the Sequential Probability Ratio Test.
    Chan CL; Rudrappa S; Ang PS; Li SC; Evans SJW
    Drug Saf; 2017 Aug; 40(8):703-713. PubMed ID: 28455793
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.