Sentence examples for multivariate model individuals from inspiring English sources

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.

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).

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]).

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

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

d Model 3: Multivariate model with individual- and area-level covariates significant at p < 0.05 in Model 2. RR (95% CI), Risk ratio (95% Confidence Intervals).

In the primary multivariate model the individual AB0 blood groups were included using the most frequent blood group A as reference category.

Ruhl and Everhart found that, whether in an age-adjusted-only model, or full multivariate-adjusted model, individuals with elevated ALT had approximately a fivefold increased risk of liver disease mortality.

Subsequently, a two-level multivariate logistic regression model (individuals at level 1 nested within 29 GHS and 11 VHS at level 2) was fitted to estimate variables that were independently predictive of NMUPPR according to the adjusted ORs (AORs) and 95% CIs.