What are some examples of confounding variables?
Confounding Variable Examples A mother’s education. Suppose a study is done to reveal whether bottle-feeding is related to an increase of diarrhea in infants. Weather. Another example is the correlation between murder rate and the sale of ice-cream. Slanted wood. Click to see full answer. Subsequently, one may also ask, what are some potentially confounding…
Confounding Variable Examples A mother’s education. Suppose a study is done to reveal whether bottle-feeding is related to an increase of diarrhea in infants. Weather. Another example is the correlation between murder rate and the sale of ice-cream. Slanted wood. Click to see full answer. Subsequently, one may also ask, what are some potentially confounding variables?One confounding variable is how much people eat. It’s also possible that men eat more than women; this could also make sex a confounding variable. Nothing was mentioned about starting weight, occupation or age either. A poor study design like this could lead to bias.Also, how do you identify a confounding variable? A simple, direct way to determine whether a given risk factor caused confounding is to compare the estimated measure of association before and after adjusting for confounding. In other words, compute the measure of association both before and after adjusting for a potential confounding factor. Beside above, what is a confounding variable in statistics? A confounding variable is an outside influence that changes the effect of a dependent and independent variable. This extraneous influence is used to influence the outcome of an experimental design. Simply, a confounding variable is an extra variable entered into the equation that was not accounted for.Can gender be a confounding variable?Hence, due to the relation between age and gender, stratification by age resulted in an uneven distribution of gender among the exposure groups within age strata. As a result, gender is likely to be considered a confounding variable within strata of young and old subjects.
