Mitigation of biases in estimating hazard ratios under non-sensitive and non-specific observation of outcomes–applications to influenza vaccine effectiveness

Mitigation of biases in estimating hazard ratios under non-sensitive and non-specific observation of outcomes–applications to influenza vaccine effectiveness

Abstract Background Non-sensitive and non-specific observation of outcomes in time-to-event data affects event counts as well as the risk sets, thus, biasing the estimation of hazard ratios. We investigate how imperfect observation of incident events affects the estimation of vaccine effectiveness b...

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Bibliographic Details
Main Authors: Ulrike Baum, Sangita Kulathinal, Kari Auranen
Format: Article
Language:English
Published: BMC 2021-01-01
Series:Emerging Themes in Epidemiology
Subjects:
Influenza
Outcome measurement error
Proportional hazards model
Survival analysis
Vaccine effectiveness
Online Access:https://doi.org/10.1186/s12982-020-00091-z

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