Sentence examples for modelling were gender from inspiring English sources

Exact(1)

The fixed effect variables considered for modelling were: gender, group, age, self-rated health (SRH), education, medical card holder (GMS), fruit & vegetables and fish consumption, physical activity level, and interactions of these variables.

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All models were gender stratified.

Demographic characteristics included in the model were gender, age and self-reported income.

Variables tested in the model were gender, age, BMI, current smoking, diagnosed hypertension, CVD and diabetes.

The two key demographic covariates included in the adjusted model were gender and age (under 40, 40-49, 50-59 and 60+).

The independent variables for the model were gender, age, attitude towards preventive dentistry and knowledge of caries prevention scores.

The individual components that were entered into the model were gender, log disease duration, log ESR, log CRP, PP and heart rate.

Covariates included in multivariable models were: gender, age, clinical status, CD4 cell count at the baseline and selected HLA-B allele.

The independent variables selected for entry in the model were "Gender", "Received training course in the preceding 12 months", "Ability to perform EOCs", "Shift Schedule" and "Work Experience".

The demographic factors included in the model were gender, marital status, country and age, with age standardised to years at 30th November 2006.

Demographic factors included in the models were gender, age, whether the patient cared for any dependants, and whether the patient lived alone.

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