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Investigating confounding in network-based test-negative design influenza vaccine effectiveness studies-Experience from the DRIVE project.

Anke L StuurmanMiriam LeviPhilippe BeutelsHélène BricoutAlexandre DescampsGaël Dos SantosIan McGovernAinara Mira-IglesiasJos NautaLaurence Torcel-PagnonJorne Bicclernull null
Published in: Influenza and other respiratory viruses (2022)
Our study supports a parsimonious approach to confounder adjustment in TND studies, limited to adjusting for age, sex, and calendar time. Practical implications are that necessitating fewer variables lowers the threshold for enrollment of sites in IVE studies and simplifies the pooling of data from different IVE studies or study networks.
Keyphrases
  • case control
  • systematic review
  • randomized controlled trial
  • healthcare
  • machine learning
  • electronic health record
  • artificial intelligence
  • deep learning
  • data analysis