Signal Detection of Adverse Drug Reactions through LASSO Logistic Regression Using an Electronic Health Records Database：A Case-Control Study -Reference-Cited by-同舟云学术

Signal Detection of Adverse Drug Reactions through LASSO Logistic Regression Using an Electronic Health Records Database：A Case-Control Study

Published:2017 Issue:2 Volume:21 Page:51-62
ISSN:1342-0445
Container-title:Japanese Journal of Pharmacoepidemiology/Yakuzai ekigaku
language:en
Short-container-title:Japanese Journal of Pharmacoepidemiology/Yakuzai ekigaku

Author:

HAYASHI Hiroshi¹,HIRAMATSU Tatsuo²,KOIDE Daisuke³,TANAKA Katsuya²,OHE Kazuhiko¹²

Affiliation:

1. Department of Healthcare Information Systems, School of Public Health, The University of Tokyo

2. Department of Healthcare Information Management, The University of Tokyo Hospital

3. Department of Clinical Epidemiology and Systems, Graduate School of Medicine, The University of Tokyo

Publisher

Japanese Society for Pharmacoepidemiology

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/jjpe/21/2/21_51/_pdf

Reference19 articles.

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2. 2) Goldman SA. Limitations and strengths of spontaneous reports data. Clin Ther 1998；20 （Suppl C）：C40-4.

3. 3) FDA's Sentinel Initiative.［http://www.fda.gov/Safety/FDAsSentinelInitiative/default.htm （accessed 2015-3-12）]

4. 4) European Network of Centres for Pharmacoepidemiology and Pharmacovigilance. ［http://www.encepp.eu （accessed 2015-3-12）]

5. 8) Ramirez E, Carcas AJ, Borobia AM, et al. A pharmacovigilance program from laboratory signals for the detection and reporting of serious adverse drug reactions in hospitalized patients. Clin Pharmacol Ther 2010；87：74-86. doi：10.1038/clpt. 2009.185. Epub 2009 Nov 4.