Sentence examples for multivariable model not from inspiring English sources

Also, when maternal BMI was forcibly added into the multivariable model (not reported here), the observed associations did not attenuate.

The same was true for restriction to individuals with baseline smoking data and inclusion of that information in the multivariable model (not shown).

Although in the larger SMART study CXCL13 was not associated with EULAR response at week 24, another chemokine involved in B-cell migration, that is, CCL19, turned out to be predictive in a multivariable model not including autoantibodies [ 59].

When including BMI as an independent variable in our multivariable model, we found the same statistically significant associations for exposure to any SSRI or individual SSRIs and the specific congenital malformations as our multivariable model not adjusted for BMI.

When driving status (still driving vs. not driving) was added to the multivariable model (not shown in table), the association between AMD status and excursions lessened (OR = 1.29) and the association was no longer statistically significant (p = 0.11).

All covariates had statistically significant associations (p<0.05) with one or more outcomes in multivariable models (not shown).

There were minor differences in predictors of anti-HCV positivity in the multivariable imputed models displayed in Additional file 3 and ordinary multivariable models (not shown).

Paternal smoking during childhood was associated with lower z-score of height-for-age only at preschool age, but when included at multivariable models not remained associated (p = 0.68) and did not affect the coefficient of association between maternal smoking and growth.

Removing body mass index from the multivariable model did not materially alter the results (data not shown).

Data on baseline HbA1c were available for 70% of Europeans and 77% of Indian Asians; that inclusion in the multivariable model did not explain ethnic differences in diabetes incidence (not shown).

A multivariable model was not developed as the number of preterm births was not large enough (i.e., at least 10 preterm births for every significant variable identified in the univariable logistic regression analysis) [ 30]. 187 pregnant women were assessed for eligibility of which 172 (91·9%) were eligible.