Quantifying the potential role of unmeasured confounders: the example of influenza vaccination | Zendy

Rolf H. H. Groenwold | Zendy; Arno W. Hoes | Zendy; Kristin L. Nichol | Zendy; E. Hak | Zendy

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Quantifying the potential role of unmeasured confounders: the example of influenza vaccination

Author(s) -

Rolf H. H. Groenwold,

Arno W. Hoes,

Kristin L. Nichol,

E. Hak

Publication year - 2008

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyn173

Subject(s) - medicine , confounding , vaccination , logistic regression , socioeconomic status , environmental health , health care , covariate , gerontology , population , statistics , immunology , mathematics , economics , economic growth

The validity of non-randomized studies using healthcare databases is often challenged because they lack information on potentially important confounders, such as functional health status and socioeconomic status. In a study quantifying the effects of influenza vaccination among community-dwelling elderly we assessed whether additional information on not routinely available covariates was indeed associated with exposure to influenza vaccination and could, therefore, have led to residual confounding in healthcare databases.

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