Mining adverse events in large frequency tables with ontology, with an application to the vaccine adverse event reporting system
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Publication:6617509
DOI10.1002/sim.9684zbMATH Open1545.62687MaRDI QIDQ6617509
Publication date: 11 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
empirical Bayeszero-inflated negative binomial distributionadverse event ontologyvaccine adverse eventVAERS
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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