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kAlthough it would be conceivable to analyse each of the five shares individually, i.e., univariately, instead of using the multivariate model, this option would disregard the nature of the data, as the shares must add up to 100percentnt and thus stand in direct relationship to each other.
However, in a multivariate model this association no longer remained significant.
Thus, after the addition of these two variables in the multivariate model this association was no longer documented.
In a multivariate model, this association persisted after correction for comorbidities and age by the modified Charlson score (OR = 2.99, 95% CI = 1.05; 8.53, P = 0.03).
As TACE cycle numbers were included into the multivariate model this would be applicable independently regardless whether the first or a later TACE treatment is applied.
In patients with HAP, presence of MDR bacteria was associated with inadequate AB but in the final multivariate model this was not significant.
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We added fasting blood glucose (FBG) to the multivariate models; this eliminated the marginal difference in the material deprivation model.
Had socioeconomic status been available for use in our multivariate models, this might have affected risks of adverse obstetric outcomes among teenagers.
After adjusting for years of school completed, HAQ, and DAS28 at baseline, in two multivariate models, this association remained significant for a P value < 0.05 (Table 4).
In this multivariate model, the strongest independent predictors of survival were (in order of statistical significance) overall stage, patient age, vascular invasion, and SI score.
Formally testing this in our multivariate model demonstrated this interaction to be significant in UTIs five years prior to PBC diagnosis (p < 0.05), although a trend was observable in the other exposures assessed.
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