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This "marriage bonus" remains when one controls for age, income and other variables.
Regressions include controls for age, gender and province of birth.
Of these, 30 AI patients were matched to controls for age and sex.
I extend their approach to control also for time-variant unobserved factors by including controls for age.
Excluding both the controls for age effects and time-invariant unobservables would have increased this bias to (0.2~%).
The researchers matched these "controls" for age, race and gender.
aModel also controls for age, age-squared (not shown).
aModel also controls for age and age-squared (not shown).
Both control groups were matched for gender, and older controls for age with the patients.
All studies controlled for age, and three controlled for obesity.
The authors controlled for age.
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CEO of Professional Science Editing for Scientists @ prosciediting.com