Drug Adverse Event Detection in Health Plan Data Using the Gamma Poisson Shrinker and Comparison to the Tree-based Scan Statistic

• Main Authors: David Smith (Author), Robert Reynolds (Author), Marsha A. Raebel (Author), Douglas Roblin (Author), Margaret J. Gunter (Author), Lisa Herrinton (Author), Pamala A. Pawloski (Author), Denise Boudreau (Author), Susan E. Andrade (Author), K. Arnold Chan (Author), Taliser R. Avery (Author), Robert L. Davis (Author), Martin Kulldorff (Author), Andrew Bate (Author), Fang Zhang (Author), Inna Dashevsky (Author), Kenneth R. Petronis (Author), Jeffrey S. Brown (Author)
• Format: Book
• Published: MDPI AG, 2013-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background: Drug adverse event (AE) signal detection using the Gamma Poisson Shrinker (GPS) is commonly applied in spontaneous reporting. AE signal detection using large observational health plan databases can expand medication safety surveillance. Methods: Using data from nine health plans, we cond...