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A multivariable statistical model of predictors of critical care interventions was developed using basic demographic variables including age, sex, and race, and variables previously identified to predict critical care needs, such as SBP and NIHSS [ 3].
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Basic demographic variables included sex (men/women), age (categorised as 25 29, 30 34, 35 39, 40 44 and 45 50 years) and marital status (categorised as married/not married).
† Adjusted for all demographic variables, including Regions of Canada.
In the distributed lag models, basic demographic variables were included as the first step of covariable adjustment.
Demographic variables included age, gender, diagnosis, and Charnley joint class.
Demographic variables included the respondents' age, gender, marital status, income, nationality, and place of birth.
The demographic variables included both racial/ethnic and socioeconomic variables.
Demographic variables included the gender variable as well as age, race, employment and marital status.
Demographic variables included patient age at KS diagnosis and gender.
Demographic variables included age, genotype, and gender.
Demographic variables included gender, race and age.
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