2009PubMedRequires access

[Confounding variables in observational studies and their influence on obtained results].

Jerzy Moczko

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Abstract

In estimating the influence of one variable on another one we must ensure that observed effect is not caused by factors other than these under investigation. These last, called confounders of analyzed variables, influencing simultaneously both analyzed quantities may generate spurious non existing in reality relationships or change direction of these really existing.

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What this paper is about

In estimating the influence of one variable on another one we must ensure that observed effect is not caused by factors other than these under investigation. These last, called confounders of analyzed variables, influencing simultaneously both analyzed quantities may generate spurious non existing in reality relationships or change direction of these really existing.

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Available abstract

In estimating the influence of one variable on another one we must ensure that observed effect is not caused by factors other than these under investigation. These last, called confounders of analyzed variables, influencing simultaneously both analyzed quantities may generate spurious non existing in reality relationships or change direction of these really existing.

Key concepts: Confounding, Spurious relationship, Observational study, Variable (mathematics), Statistics, Econometrics, Variables, Mathematics

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