A Bayesian method to detect drug-drug interaction using external information for spontaneous reporting system

DOI10.1002/SIM.10137zbMATH Open1545.62587MaRDI QIDQ6618330

Keisuke Tada, Kazushi Maruo, Masahiko Gosho

Publication date: 14 October 2024

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

zbMATH Keywords

signal detectionpower prioradverse drug reactionpharmacovigilancedynamic borrowing

Mathematics Subject Classification ID

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

Cites Work

• Accounting for Multiplicities in Assessing Drug Safety: A Three-Level Hierarchical Mixture Model
• Propensity score-adjusted three-component mixture model for drug-drug interaction data mining in FDA adverse event reporting system
• A calibrated power prior approach to borrow information from historical data with application to biosimilar clinical trials

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