[Confounding variables in observational studies and their influence on obtained results].
Jerzy Moczko
Abstract
Jerzy Moczko
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.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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