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Discover LudwigSuggestions(5)
"controlling for age" is a correct and commonly used phrase in written English.
It is typically used to describe a statistical analysis or research technique where the influence of age is removed or accounted for in order to better understand the relationship between other variables. Example: "The study found a significant correlation between income and education level when controlling for age, indicating that age was not a confounding factor in the relationship."
Exact(60)
The findings held even after controlling for age, sex, body mass index and smoking status.
These differences persist after controlling for age, duration of marriage and level of education.
The relationship persisted even after controlling for age, sex, race, socioeconomic status, smoking and concerns about diet and weight.
The differences persisted even after controlling for age, sex, socioeconomic status, type of hospital and other factors.
The association persisted even after controlling for age, smoking, socioeconomic status and the number of dental visits a woman reported.
This effect remained significant when controlling for age, length of relationship and relationship satisfaction.
Controlling for age and estimated IQ scores made no impact on the results.
Child abuse and neglect predicted allostatic load, controlling for age, sex, and race.
Performances on many of the tests were related, but not after controlling for age.
Results: Gender and race predicted moderate functional limitation onset, after controlling for age and education.
Gender, but not race, predicted onset of severe functional limitation, after controlling for age and education.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com