392 related articles for article (PubMed ID: 28155198)
1. Validation of New Signal Detection Methods for Web Query Log Data Compared to Signal Detection Algorithms Used With FAERS.
Colilla S; Tov EY; Zhang L; Kurzinger ML; Tcherny-Lessenot S; Penfornis C; Jen S; Gonzalez DS; Caubel P; Welsh S; Juhaeri J
Drug Saf; 2017 May; 40(5):399-408. PubMed ID: 28155198
[TBL] [Abstract][Full Text] [Related]
2. Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection.
Xu R; Wang Q
BMC Bioinformatics; 2014 Jan; 15():17. PubMed ID: 24428898
[TBL] [Abstract][Full Text] [Related]
3. Drug Safety Monitoring in Children: Performance of Signal Detection Algorithms and Impact of Age Stratification.
Osokogu OU; Dodd C; Pacurariu A; Kaguelidou F; Weibel D; Sturkenboom MC
Drug Saf; 2016 Sep; 39(9):873-81. PubMed ID: 27255487
[TBL] [Abstract][Full Text] [Related]
4. Mining association patterns of drug-interactions using post marketing FDA's spontaneous reporting data.
Ibrahim H; Saad A; Abdo A; Sharaf Eldin A
J Biomed Inform; 2016 Apr; 60():294-308. PubMed ID: 26903152
[TBL] [Abstract][Full Text] [Related]
5. Automatic signal extraction, prioritizing and filtering approaches in detecting post-marketing cardiovascular events associated with targeted cancer drugs from the FDA Adverse Event Reporting System (FAERS).
Xu R; Wang Q
J Biomed Inform; 2014 Feb; 47():171-7. PubMed ID: 24177320
[TBL] [Abstract][Full Text] [Related]
6. Exploring the FDA adverse event reporting system to generate hypotheses for monitoring of disease characteristics.
Fang H; Su Z; Wang Y; Miller A; Liu Z; Howard PC; Tong W; Lin SM
Clin Pharmacol Ther; 2014 May; 95(5):496-8. PubMed ID: 24448476
[TBL] [Abstract][Full Text] [Related]
7. A Pharmacovigilance Signaling System Based on FDA Regulatory Action and Post-Marketing Adverse Event Reports.
Hoffman KB; Dimbil M; Tatonetti NP; Kyle RF
Drug Saf; 2016 Jun; 39(6):561-75. PubMed ID: 26946292
[TBL] [Abstract][Full Text] [Related]
8. Comparing drug safety of hepatitis C therapies using post-market data.
Huang J; Zhang X; Tong J; Du J; Duan R; Yang L; Moore JH; Tao C; Chen Y
BMC Med Inform Decis Mak; 2019 Aug; 19(Suppl 4):147. PubMed ID: 31391106
[TBL] [Abstract][Full Text] [Related]
9. Analysis of Spontaneous Postmarket Case Reports Submitted to the FDA Regarding Thromboembolic Adverse Events and JAK Inhibitors.
Verden A; Dimbil M; Kyle R; Overstreet B; Hoffman KB
Drug Saf; 2018 Apr; 41(4):357-361. PubMed ID: 29196988
[TBL] [Abstract][Full Text] [Related]
10. Commonality of drug-associated adverse events detected by 4 commonly used data mining algorithms.
Sakaeda T; Kadoyama K; Minami K; Okuno Y
Int J Med Sci; 2014; 11(5):461-5. PubMed ID: 24688309
[TBL] [Abstract][Full Text] [Related]
11. The Weber effect and the United States Food and Drug Administration's Adverse Event Reporting System (FAERS): analysis of sixty-two drugs approved from 2006 to 2010.
Hoffman KB; Dimbil M; Erdman CB; Tatonetti NP; Overstreet BM
Drug Saf; 2014 Apr; 37(4):283-94. PubMed ID: 24643967
[TBL] [Abstract][Full Text] [Related]
12. Profiling cumulative proportional reporting ratios of drug-induced liver injury in the FDA Adverse Event Reporting System (FAERS) database.
Brinker AD; Lyndly J; Tonning J; Moeny D; Levine JG; Avigan MI
Drug Saf; 2013 Dec; 36(12):1169-78. PubMed ID: 24178291
[TBL] [Abstract][Full Text] [Related]
13. Can Disproportionality Analysis of Post-marketing Case Reports be Used for Comparison of Drug Safety Profiles?
Michel C; Scosyrev E; Petrin M; Schmouder R
Clin Drug Investig; 2017 May; 37(5):415-422. PubMed ID: 28224371
[TBL] [Abstract][Full Text] [Related]
14. Comparative performance of two quantitative safety signalling methods: implications for use in a pharmacovigilance department.
Almenoff JS; LaCroix KK; Yuen NA; Fram D; DuMouchel W
Drug Saf; 2006; 29(10):875-87. PubMed ID: 16970511
[TBL] [Abstract][Full Text] [Related]
15. Novel Adverse Events of Iloperidone: A Disproportionality Analysis in US Food and Drug Administration Adverse Event Reporting System (FAERS) Database.
Subeesh V; Maheswari E; Singh H; Beulah TE; Swaroop AM
Curr Drug Saf; 2019; 14(1):21-26. PubMed ID: 30362421
[TBL] [Abstract][Full Text] [Related]
16. Significance of data mining in routine signal detection: Analysis based on the safety signals identified by the FDA.
Fukazawa C; Hinomura Y; Kaneko M; Narukawa M
Pharmacoepidemiol Drug Saf; 2018 Dec; 27(12):1402-1408. PubMed ID: 30324671
[TBL] [Abstract][Full Text] [Related]
17. Exploring the impact of design criteria for reference sets on performance evaluation of signal detection algorithms: The case of drug-drug interactions.
Kontsioti E; Maskell S; Pirmohamed M
Pharmacoepidemiol Drug Saf; 2023 Aug; 32(8):832-844. PubMed ID: 36916014
[TBL] [Abstract][Full Text] [Related]
18. Postmarketing surveillance of potentially fatal reactions to oncology drugs: potential utility of two signal-detection algorithms.
Hauben M; Reich L; Chung S
Eur J Clin Pharmacol; 2004 Dec; 60(10):747-50. PubMed ID: 15619136
[TBL] [Abstract][Full Text] [Related]
19. Signal detection of human papillomavirus vaccines using the Korea Adverse Events Reporting System database, between 2005 and 2016.
Ran J; Yang JY; Lee JH; Kim HJ; Choi JY; Shin JY
Int J Clin Pharm; 2019 Oct; 41(5):1365-1372. PubMed ID: 31313003
[TBL] [Abstract][Full Text] [Related]
20. Investigating Overlap in Signals from EVDAS, FAERS, and VigiBase
Vogel U; van Stekelenborg J; Dreyfus B; Garg A; Habib M; Hosain R; Wisniewski A
Drug Saf; 2020 Apr; 43(4):351-362. PubMed ID: 32020559
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
