Cargando…
Mitigation of biases in estimating hazard ratios under non-sensitive and non-specific observation of outcomes–applications to influenza vaccine effectiveness
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 based on...
Autores principales: | Baum, Ulrike, Kulathinal, Sangita, Auranen, Kari |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807790/ https://www.ncbi.nlm.nih.gov/pubmed/33446220 http://dx.doi.org/10.1186/s12982-020-00091-z |
Ejemplares similares
-
Exposure misclassification bias in the estimation of vaccine effectiveness
por: Baum, Ulrike, et al.
Publicado: (2021) -
Spotlight influenza: Estimation of influenza vaccine effectiveness in elderly people with assessment of residual confounding by negative control outcomes, Finland, 2012/13 to 2019/20
por: Baum, Ulrike, et al.
Publicado: (2021) -
On hazard ratio estimators by proportional hazards models in matched-pair cohort studies
por: Shinozaki, Tomohiro, et al.
Publicado: (2017) -
Case-cohort design in practice – experiences from the MORGAM Project
por: Kulathinal, Sangita, et al.
Publicado: (2007) -
Non-differential measurement error does not always bias diagnostic likelihood ratios towards the null
por: Fosgate, GT
Publicado: (2006)