Sentence examples for multivariable model but from inspiring English sources

Renal dysfunction was retained in the final multivariable model, but its association with anemia at PICU discharge was not statistically significant.

For males, none were statistically significant in the multivariable model, but item ownership has been included for comparison.

In addition, results are also presented for the same multivariable model but avoiding adjustment for the year of first exposure, as requested by Farioli et al (2014).

Other variables that were not retained in the multivariable model but were significant in the univariable analysis were age, employment, hand washing as prevention.

Interactions terms were added in the multivariable model but none were statistically significant and they were not included in the final model.

The employment status of the head was included in the multivariable model, but the type of employment was not because these variables are highly correlated.

Age, gender, CD4+ T cell count, plasma HIV RNA level, and disease stage (acute versus chronic, treated versus not treated) were all considered potential confounders in multivariable models, but were removed in a stepwise manner if their inclusion changed the beta coefficient of the primary predictor by <10%.

The association was statistically significant for Arm C in both univariable and multivariable models, but not for Arms A and B in either model.

Assessing mutually exclusive MHC groups, we found that all three condition groups differed from callers with no MHCs in multivariable models but did not differ from one another.

Interactions between the adolescent predictors and sex were examined in the multivariable models but the evidence for differential sex effects was weak.

Responders with missing values for any of the variables (except occupation) were excluded from multivariable models, but were included when SIRs were estimated.