Exploration of statistical shrinkage parameters of disproportionality methods in spontaneous reporting system of China-Reference-Cited by-同舟云学术

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Exploration of statistical shrinkage parameters of disproportionality methods in spontaneous reporting system of China

Published:2015-06-11 Issue:9 Volume:24 Page:962-970
ISSN:1053-8569
Container-title:Pharmacoepidemiology and Drug Safety
language:en
Short-container-title:Pharmacoepidemiol Drug Saf

Author:

Wang Jing¹,Ye Xiao-Fei¹,Guo Xiao-Jing¹,Zhu Tian-Tian¹,Qi Na²,Hou Yong-Fang³,Zhang Tian-Yi¹,Shi Wen-Tao¹,Wei Xin⁴,Liu Yu-Zhou⁴,Wu Gui-Zhi³,He Jia¹

Affiliation:

1. Department of Health Statistics; Second Military Medical University; Shanghai 200433 China

2. Kidney Institute of CPLA, Division of Nephrology, Changzheng Hospital; Second Military Medical University; Shanghai 200003 China

3. National Center for ADR Monitoring; Beijing 100045 China

4. School of Medicine; Shanghai Jiao Tong University; Shanghai 200025 China

Funder

Ministry of Science and Technology of China

Shanghai Municipal Commission of Health and Family Planning

National Natural Science Foundation of China

Publisher

Wiley

Subject

Pharmacology (medical),Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/pds.3811/fullpdf

Reference20 articles.

1. Novel statistical tools for monitoring the safety of marketed drugs;Almenoff;Clin Pharmacol Ther,2007

2. Quantitative signal detection using spontaneous ADR reporting;Bate;Pharmacoepidemiol Drug Saf,2009

3. A Bayesian neural network method for adverse drug reaction signal generation;Bate;Eur J Clin Pharmacol,1998

4. Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system;DuMouchel;Am Stat,1999

5. Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports;Evans;Pharmacoepidemiol Drug Saf,2001

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1. Data mining and analysis for emicizumab adverse event signals based on the Food and Drug Administration Adverse Event Reporting System database;International Journal of Clinical Pharmacy;2023-02-27

2. Application of biclustering algorithm in adverse drug reaction monitoring system of China;Pharmacoepidemiology and Drug Safety;2018-09-19

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