Mining adverse events in large frequency tables with ontology, with an application to the vaccine adverse event reporting system

DOI10.1002/sim.9684zbMATH Open1545.62687MaRDI QIDQ6617509

Lili Zhao, Bangyao Zhao

Publication date: 11 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

empirical Bayeszero-inflated negative binomial distributionadverse event ontologyvaccine adverse eventVAERS

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• A Maximized Sequential Probability Ratio Test for Drug and Vaccine Safety Surveillance
• Bayesian neural networks with confidence estimations applied to data mining.
• Monitoring vaccine safety by studying temporal variation of adverse events using vaccine adverse event reporting system
• A Likelihood Ratio Test Based Method for Signal Detection With Application to FDA’s Drug Safety Data
• An evaluation of statistical approaches to postmarketing surveillance
• Vaccine adverse event enrichment tests

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