Sentence examples for predictors in the basic model from inspiring English sources

As expected, in the 10-year predictions of CHD, all five predictors in the basic model (age, blood pressure, TC, smoking and diabetes) were statistically significant in both men and women.

The equations were generated by linear regression analysis, and the impedance index (height/impedance) was fitted as a primary predictor in the basic model, which was then developed by adding variables age, sex, and weight as further predictors.

When ln(1/fasting insulin) and ln ΔI0 30/ΔG0 30) were included in the basic model in place of ln DIO), both were independent predictors of diabetes at the 10-year follow-up: ln(1/fasting insulin) 0.32 [0.14–0.73] and ln ΔI0 30/ΔG0 30) 0.41 [0.25–0.68].

To assess the independent association of age with hospitalization and glycemic control, the analyses were repeated on the basic model (i.e., gender and age only model) with separate adjustments for each predictor and which was then compared to the magnitude of the association in the basic model.

In the basic model, patients underwent DSA, MRA or CTA.

We adjusted for age (continuous, year) in the basic model.

Significant covariates were then included in the basic model.

This was nested in the basic model (Eq1) and compared.

In the basic model (model 1), we adjusted only for birth year (of all siblings).

In each regression approach, the basic model contained binary (0,1) predictors for categories of fat score other than the lowest.

The basic model in Figure 2 is hence the GTR112 model, while the basic model in Figure 3 is the GTR123 model.