Sentence examples for model were age from inspiring English sources

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Variables included in the multivariate model were age, gender, race, SES, and MOI.

Variables tested in the multivariate model were: age at admission, delay from ICU admission to tumour imaging, delay from ICU admission to first immunomodulating treatment, type of first treatment and white blood cell (WBC) count in the first CSF examination.

The covariates of the final model were age, sex, BMI, ethnicity, SES, and cohort.

The dependent variable was "lymph node involvement", and the independent variables for the first dataset model were age, pathology, size, and subtype; the independent variables for the second dataset model were age, pathology, and size.

The possible confounders included in the model were age, ethnicity, gender, baseline CD4 cell count, and log transformed VL.

The five most frequent included variables in the final model were age, body mass index, bone mass index, past history of falls, and maternal history of fractures.

Predictors in the final model were age, sex, race and CD4 count.

The independent variables in the first model were age, sex and education.

The variables included from the regression model were age, lump, nipple change and nipple discharge.

Covariates included in the model were age, gender, race and ethnicity, insurance status, and residential location.

Additional variables controlled for in the first regression model (the crude model) were age and sex.

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