Semantic Similarity‐Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events

François Haguinet, Jeffery L. Painter, Gregory E. Powell, Andrea Callegaro, Andrew Bate

Open source

DOI: 10.1002/sim.70757
Published: 2026-10
Container: Statistics in Medicine
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/sim.70757,
  title = {Semantic Similarity‐Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events},
  author = {François Haguinet and Jeffery L. Painter and Gregory E. Powell and Andrea Callegaro and Andrew Bate},
  year = {2026},
  journal = {Statistics in Medicine},
  doi = {10.1002/sim.70757},
  url = {https://doi.org/10.1002/sim.70757}
}

RIS

TY  - JOUR
TI  - Semantic Similarity‐Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events
AU  - François Haguinet
AU  - Jeffery L. Painter
AU  - Gregory E. Powell
AU  - Andrea Callegaro
AU  - Andrew Bate
PY  - 2026
JO  - Statistics in Medicine
DO  - 10.1002/sim.70757
UR  - https://doi.org/10.1002/sim.70757
ER  -

APA

Haguinet, F., Painter, J. L., Powell, G. E., Callegaro, A., & Bate, A. (2026). Semantic Similarity‐Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events. Statistics in Medicine. https://doi.org/10.1002/sim.70757

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crossref · retrieved 2026-11-10T07:46:01.170Z