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Patients' characteristics (age, gender, comorbidities, mortality, etc).
Patient characteristics: age, gender, educational level.
Personal characteristics (age, marital status, citizenship, etc).
It may be knowable, by comparing the sample for key characteristics (age, gender, etc).
Spousal characteristics: age, log-hourly wage, completed years of education, and a good health status indicator.
Both samples (first and last migration) are similar when considering individual characteristics (age, education, occupation, etc).
The first divides the sample into subgroups defined by migrant characteristics (age, education, etc).
The questionnaire encompassed five main domains: Patient characteristics: age, gender, educational level.
Drivers' characteristics (age and gender) did not significantly affect the left-turn time.
Maternal characteristics: Age, Parity, Ethnicity, SES.
We described baseline characteristics (age groups, sex).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com