Sentence examples for models were gender from inspiring English sources

Co-variables included a priori in the models were gender, birth-weight, gestation at birth, corrected age on admission, weight on admission, family history of atopy, exposure to environmental tobacco smoke, NPA concentrations of SP, IFN-γ, IL-9 and NPA hRSV load.

All models were gender stratified.

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

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

The covariates introduced in the multivariable models were: gender, age (as a continuous variable), area of birth (Italy versus another country), HIV exposure category (heterosexual contacts as a reference category) and a previous HIV- negative test.

Demographic variables included in the models were gender, indigenous (ie, Aboriginal or Torres Strait Islander) status and age at entry to prison; this latter variable increased as necessary with subsequent incarcerations of an individual.

Basic demographic characteristics of respondents that we included as covariates in our models are gender, Hispanic status, and a measure of race that distinguishes between Whites, African Americans, and respondents from other racial categories.

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.