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

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

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...

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Bibliographic Details
Main Authors: Michael L. Jackson, Jill Ferdinands, Mary Patricia Nowalk, Richard K. Zimmerman, Burney Kieke, Manjusha Gaglani, Kempapura Murthy, Joshua G. Petrie, Emily T. Martin, Jessie R. Chung, Brendan Flannery, Lisa A. Jackson
Format: Article
Language:English
Published: BMC 2021-03-01
Series:BMC Public Health
Subjects:
Influenza
Influenza vaccine
Effectiveness
Test-negative case-control design
Bayesian statistics
Frequentist statistics
Online Access:https://doi.org/10.1186/s12889-021-10543-z

Internet

https://doi.org/10.1186/s12889-021-10543-z

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