Sentence examples for models were sex from inspiring English sources
Additional self-reported predictors included in the regression models were sex, age, and race/ethnicity.
Additional covariates used in all models were sex, age, sex × age interaction, age, and sex × age interaction.
The covariates used in the final regression models were sex, DASS-21 total score and sleep quality.
The variables selected to be included in the final multivariable models were: Sex, ETS, breastfeeding, parental allergy, parental origin, parental education and year of birth.
The covariates that were included in all models were sex, age, race/ethnicity, primary language at home, and baseline values of the outcome.
The variables selected to be included in the final multivariable models were: Sex, breastfeeding, parental allergy, parental origin, season, and year of birth.
Other independent variables included in the model were sex, age group, race/ethnicity, and cSES.
Not significantly associated with low eGFR in such modeling were sex, BMI, and co-treatment with an anticonvulsant, antipsychotic, or antidepressant drugs.
The fixed effects included in the model were: sex, inbreeding coefficient, age in days at evaluation, birth date measured as days since 1st Jan 1990, and year of evaluation.
Other potential confounders included in the multiple-adjusted model were: sex, age, smoking, physical activity during leisure time, total energy intake, and baseline body mass index (BMI).
The fixed effects included in the model were: sex, age, season of birth (winter = January – March, spring = April – June, summer = July September ,, autumn = October – December) and year of evaluation.
