[Bayesian Data Mining in Large Frequency Tables, with an Application to the FDA Spontaneous Reporting System]: Reply
Author:
Publisher
JSTOR
Subject
Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Pneumatosis intestinalis associated with α-glucosidase inhibitors: a pharmacovigilance study of the FDA adverse event reporting system from 2004 to 2022;Expert Opinion on Drug Safety;2023-11-06
2. Discovering Drug-Drug Associations in the FDA Adverse Event Reporting System Database with Data Mining Approaches;2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2021-12-09
3. Improving the Prediction of Adverse Drug Events Using Feature Fusion-Based Predictive Network Models;IEEE Access;2020
4. Effect of database profile variation on drug safety assessment: an analysis of spontaneous adverse event reports of Japanese cases;Drug Design, Development and Therapy;2015-06
5. Investigating the Detection of Adverse Drug Events in a UK General Practice Electronic Health-Care Database;SSRN Electronic Journal;2011
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