Sentence examples for by the multivariable analysis from inspiring English sources

The strong association between antibiotic prescribing and both baseline FEV1/FVC < 0.7 and raised CRP values were confirmed by the multivariable analysis (Table  3).

The adjustment performed by the multivariable analysis has strongly moved the crude effect of a higher mortality for ICUs with an IMCU in an opposite direction.

This is supported not only by Fig.  1b, which shows a significant relationship between contact frequency and insulin doses used at study endpoint, but also by the multivariable analysis of the frequencies of clinical and telephone contacts.

Five independent risk factors were identified for all sites of ICU fungal HAI by the multivariable analysis, which included TPN use, sepsis, surgical patients, mechanical ventilation and an indwelling urinary catheter.

Statistical significance of this trend was confirmed by the multivariable analysis, as shown by the increasing OR in older animals (>4.9-8.7 >4.9-8.7 years7, 95% CI 2.2-6.3; >8.7 years, OR = 6.6, 95% CI = 3.7-11.1).

This seemingly counterintuitive result could be explained by a strong effect of the association in the ACPA-negative group, by which the multivariable analysis remained significant.

By conducting the multivariable analysis using two different but complementary methods, we were able to check the consistency of our findings.

In addition to qualitative evidence reported by Shiffman [ 13], the multivariable analysis highlighted the positive effect of the presence of an operating CCG system, characterized by the automatic provision of recommendation in electronic form as part of clinician workflow.

These two factors remained significant after adjustment for confounding by age and sex in the multivariable analysis model.

Though these interactions were cancelled in the multivariable analysis by the correlation between sTfR and vaginal microflora status, it still needs to be considered that parity may act as a confounder to the former association.

To maximise the statistical power by including all patients in the multivariable analysis, we used the method of van Buuren et al (1999) to impute the missing values.