Sentence examples for multivariable models there from inspiring English sources

In multivariable models, there was an inverse association between microalbuminuria and Insulinogenic Index quartile data (Table 3); subjects with lower β-cell function had higher odds of microalbuminuria.

Nevertheless, when we attempted to adjust for dietary and SES factors in our multivariable models, there was no significant impact in nearly all instances.

In multivariable models, there was still a clear 1.5-fold increased risk of CHD with increasing concentrations of sialic acid when adjusted for age, diabetes duration, HbA1c, triacylglycerol, WHR, current smoking, systolic blood pressure and AER, but only in men.

In our multivariable model, there was no association between socio-demographic characteristics and infant LTFU (maternal employment and marital status).

In cross-sectional age- and sex-adjusted models and the multivariable model, there was no association between B12 and RKF (Table  2).

Although computer basis was no longer significant in the multivariable model, there was a positive correlation trend between computer basis and attitude.

In the multivariable model, there was significant variance attributed by clinic differences on the outcome of receiving or declining YF vaccine (variance = 1.46, standard error = 0.64, P = 0.035).

When disease severity was included as an interaction term in the multivariable model there was little evidence that the model with this term was a better fit to the data (LRT p = 0.099).

Although the impact of medications known to cause hyponatremia was not significant in the multivariable model, there was a trend toward less ICD-9-CM documentation of laboratory-identified hyponatremia in the presence of this factor.

In the multivariable model there was a significantly lower odds of having no injuries in survivors who were virgins, those raped by multiple perpetrators and those examined by a doctor with additional qualifications.

PTT = partial thromboplastin time; WBC = white blood cell *For heart disease and heart failure in the single exposure models and white blood cell count in the multivariable model there were insufficient numbers in the strata to calculate a meaningful confidence interval.