Accounting for Multiplicity in the Evaluation of “Signals” Obtained by Data Mining from Spontaneous Report Adverse Event Databases

DOI10.1002/BIMJ.200610296zbMath1442.62382OpenAlexW2028155822WikidataQ31104605 ScholiaQ31104605MaRDI QIDQ5122910

A. Lawrence Gould

Publication date: 24 September 2020

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.200610296

zbMATH Keywords

Bayesempirical Bayesmixture modelscreeningdiagnosticpositive FDR

Mathematics Subject Classification ID

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

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