Sentence examples for multivariate model model from inspiring English sources

The initial multivariate model (model 1) was adjusted for age and sex.

Next, these variables were entered in a multivariate model (model 2).

First, traditional CV risk factors (age, sex, smoking, BP and BMI) were entered into the multivariate model (model 1).

In the complete multivariate model (model 3), lifetime smoking and lifetime sex partners remained independently associated with detection of any type of oral HPV.

Including trust-level characteristics in the full multivariate model (model 3) had a minimal effect on the associations between patients' sociodemographic characteristics and rating of care.

Only factors identified to be significantly associated with incident retinopathy at model 2 were include in the multivariate model (model 3).

Multivariate models: Model 1 ("base"): sex + age.

Further adjustment of the multivariate models (Model 1) for education, hypertension, and diabetes did not affect the risk estimates (data not shown).

We assessed whether the ethnic differences in OR for diabetes were significant after adjustments in multivariate models: Model 1: age, Model 2: age and adiposity (WHR) and Model 3: age, adiposity and SEP (body height, education and income-generating work), with Norwegians as reference.

The observation that inclusion of IL-6 and ICAM in multivariate models (Model 2) reduced the importance of father's occupation/parental home conditions (owner-occupier status and overcrowding) as potential predictors suggests that chronic inflammation and endothelial activation may be intermediary phenotypes in the relationship between adverse childhood home conditions and poorer lung function.

Table  2 presents the adjusted ORs and 95% CIs for the three multivariate models (Models 1, 2 and 3).