Sentence examples for multivariable model adjusting from inspiring English sources

The primary and secondary outcomes will be compared using the normal linear multivariable model, adjusting for the two stratification variables.

Although co-morbidity was associated with surgery in univariable analyses, its effect lost significance in the main multivariable model adjusting for other measures of health.

In the multivariable model adjusting for potential covariates (Table  3), study group was the only factor significantly associated (p = 0.03) with report index scores.

This association was attenuated in the multivariable model adjusting for maternal age, ethnicity, parity, pre-pregnancy BMI, smoking, gestational diabetes, pre-eclampsia and IMD score.

Variables that gave a P-value ≤0.10 in a simple model were further analysed in a multivariable model adjusting for potential confounders.

The associations of cheiroarthropathy with neuropathy remained significant in a multivariable model adjusting for the other significant risk factors, whereas the association with retinopathy remained nominally significant (P = 0.0547).

The first multivariable model adjusted for age, sex, race, and insurance status.

Adjusted odds ratios (aORs) and corresponding 95% confidence intervals (CI) are reported for variables in the multivariable model, adjusted for all variables in the model.

Per capita healthcare expenditures were calculated for National Institutes of Health BMI categories, based on self-reported height and weight, using a two-part, multivariable model adjusted for age, gender, race, income, education level, type of health insurance, marital status, and smoking status.

Our results are based on a multivariable model adjusted for potential confounders, such as demographic and socioeconomic status.

The full multivariable model adjusted for all independent variables was fitted [ 34].