Sentence examples for models were unadjusted from inspiring English sources

Initial models were unadjusted and age, sex, and race/ethnicity were adjusted.

In the initial analysis all 56 SNPs' models were unadjusted for prognostic factors.

Models were unadjusted (model 1), adjusted for sex and education (model 2) and adjusted for all confounders (model 3).

Younger patients had more potential life years to lose if untreated, but the maximum difference between 35 and 85 years was <1 year, when models were unadjusted for time preferences or competing risk.

The initial models were unadjusted but accounted for age, because it was the underlying time variable, and menopausal status, as time at risk was stratified by menopausal status (pre- and post-menopausal).

Initial regression models were unadjusted; a subsequent model was adjusted for age, race-ethnicity, and sex, while a final multivariable model adjusted for age, race-ethnicity, sex, education, income, smoking, pack years smoked, alcohol consumption, body mass index, and C-reactive protein.

The first regression model was unadjusted, and the second model was adjusted for age, race, sex, BMI, education, and income.

The first model was unadjusted, the second partly adjusted model included sex, age and BMI as covariates, while the third fully adjusted model also included exercise, education, alcohol consumption, smoking and socioeconomic status.

The first model was unadjusted, the second was adjusted for age and gender but not eGFR, and the third model was adjusted for age, gender, body mass index (BMI), MEQ, BDI-II, energy intake, smoking pattern, alcohol consumption and IPAQ.

The first model was unadjusted, the second model was adjusted with patient characteristics (sex, and age classified into 5 groups (< 51, 51 60, 61 70, 71 80, and > 80 years)), the third model had operation-related variables added, and the fourth model had hospital-level variables added.

The initial model was unadjusted; the second model adjusted for patient age, sex, and comorbidities; the third included hospital characteristics; and the fourth added other state level characteristics such as population level measures of income and education, as well as the supply of healthcare resources.