Differences between Frequentist and Bayesian inference in routine surveillance for influenza vaccine effectiveness: a test-negative case-control study

• Main Authors: Michael L. Jackson (Author), Jill Ferdinands (Author), Mary Patricia Nowalk (Author), Richard K. Zimmerman (Author), Burney Kieke (Author), Manjusha Gaglani (Author), Kempapura Murthy (Author), Joshua G. Petrie (Author), Emily T. Martin (Author), Jessie R. Chung (Author), Brendan Flannery (Author), Lisa A. Jackson (Author)
• Format: Book
• Published: BMC, 2021-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Routine influenza vaccine effectiveness (VE) surveillance networks use frequentist methods to estimate VE. With data from more than a decade of VE surveillance from diverse global populations now available, using Bayesian methods to explicitly account for this knowledge may be be...