Sentence examples for multivariate models individuals from inspiring English sources

For multivariate models, individuals with prior CVD were defined as those with one or more condition listed under "cardiovascular event history or conditions" or taking CVD drugs in Table 1; hypertensives were excluded from this definition.

In multivariate models, individuals with either prediabetes or diabetes at baseline had significantly lower levels of all sphingomyelins, except C18 0, and dihydrosphingomyelins C16:0 and C18 0 (Tables 3 and 4).

In a multivariate model, individuals with low SRH were at higher risk of mortality (HR 1.38, 95% CI 1.10 to 1.73) than those with high SRH.

In the second multivariate model, individual characteristics were added, which substantially improved model fit.

In multivariate regression models, individuals identified as black, mixed-race, and Indian were grouped together to form the category of nonwhites.

In multivariate models for individual analytes, the above predictors of creatinine-corrected concentrations generally remained significant, except for age, in years, in relation to methyl paraben in the first sample and > 50 years of age in relation to propyl paraben in the third sample (Table 5).

Nevertheless, a significantly elevated HR was observed in the multivariate model for individuals with triglyceride levels at the fourth and fifth quintiles (i.e., already at triglyceride levels >120 mg/dl [>1.36 mmol/l]) compared with those at the bottom quintile (triglyceride level of ≤66 mg/dl [≤0.75 mmol/l]).

In the multivariate models, compared with individuals with normal glucose values, cost ratios were significantly increased in diagnosed diabetes (2.98 [95% CI 2.50 3.56]) and when antihyperglycemic drugs were excluded (2.30 [1.91–2.30]).

In multivariate logistic regression models, individuals living in households where the head of household was more educated had greater odds of ever having been diagnosed with allergies and/or hay fever.

b Model 1: Multivariate model with individual-level covariates only.

c Model 2: Multivariate model with individual- and area-level covariates.