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Overview:
The issue of confounding is of central importance in any analytic epidemiological study (as well as in those descriptive studies aiming to compare different populations), especially in the case of observational studies. Confounding results from non-random differences between the groups of animals being compared in relation to a second, 'confounding' exposure which is independently associated with both the exposure of interest (although not a consequence of this) and the outcome of interest (although not an effect of this). This results in the effect of the exposure of interest is 'mixed up' with the effect of the confounding exposure, and therefore an incorrect estimate of the true association. As such, confounding is viewed by many authors as a form of bias - however, unlike forms of selection and information bias, it is a natural feature of the data (in the case of an observational study), and techniques are available to account for it during analysis.
Subject:
Natural Science
Level:
Graduate / Professional, Career / Technical
Material Type:
Diagram/Illustration, Reading
Provider:
WikiVet
Provider Set:
Veterinary Epidemiology
Date Added:
12/27/2018
License:
Creative Commons Attribution Non-Commercial No Derivatives Creative Commons Attribution Non-Commercial No Derivatives
Language:
English
Media Format:
Text/HTML

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