The phrase "controlling for these variables" is correct and commonly used in written English.
It is typically used in the context of research or statistical analysis to indicate that certain factors or variables have been accounted for or taken into consideration. Example: "The study examined the relationship between income and health outcomes, controlling for these variables: age, gender, and education level."
Even after controlling for these variables, the rate in the South remained higher.
In this model, group was the only significant predictor of LAR after controlling for these variables.
Interestingly, after controlling for these variables, the attitude towards religion is not significantly related to either the acceptance of evolutionary theory or the preference for teaching evolution.
After controlling for these variables, a significant effect for attitude towards religion, attitudes towards science, and semester could not be detected anymore.
After controlling for these variables, an effect for attitude towards religion, scientism, and teacher education program could not be detected anymore.
Controlling for these variables appears to have minimal effect on the results, with just a slight decline in the coefficient size.
This is very useful for spatial analyses of ranger patrol data that must control for these variables (see Lemieux et al. 2014).
To control for these variables, Douglas Swain, a fisheries biologist at the Gulf Fisheries Center in Moncton, Canada, and colleagues looked back over data on fishing intensity, cod population, fish size, and environmental variables from 1977 to 1997.
We control for these variables and incorporate fixed effects to control for non-observable components that are not related to wellbeing such as the different size of migration across different pairs of countries and other potential idiosyncratic components, as well as time effects to allow for comparison across different years.
These results confirm the analysis strategy to control for these variables in the regressions.
Further analyses controlled for these variables.
