Sentence examples for multivariate presentation from inspiring English sources

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The cubic terms are retained in the multivariate presentation.

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In a final multivariate model missed presentation remained significantly less likely in the later cohort (OR = 0.28, 95% CI 0.11 to 0.72; P = 0.008) after adjustment for these covariates.

On a multivariate model, atypical clinical presentation emerged as an indenpedent predictor of PoCUS use after adjustment for age, gender, and hemodynamic stability (p=0.047).

Health care researchers have not taken full advantage of the potential to effectively convey meaning in their multivariate data through graphical presentation.

After adjustment for confounding variables using multivariate analysis, timing of presentation was not an independent predictor of mortality (HR 1.04 95% CI 0.78 to 1.39).

Age and timing of assault remained significant independent predictors of delayed presentation in a multivariate logistic regression model adjusting for possible confounding effects.

In multivariate analyses, subjects at ED presentation (Day 1) had age-related increases in circulating (mean) concentration of D-dimer (p<0.001) and TAT (p<0.001) and age-related decreases in PAI-1 (p = 0.02), AT (p = 0.03), and F-IX (p = 0.001) (Figure 1).

We performed metabolic and inflammatory protein mediator profiling with serum and plasma samples, respectively, collected upon presentation, followed by multivariate statistical analysis.

History of smoking was the only variable to maintain a significant association with CRP level at presentation in a multivariate model (P = 0.02).

The factors determining need for mechanical ventilation identified on multivariate analysis were cyanosis at presentation [RR (95%CI)- 10.9 (1.56–18.9)] and mothers education less than graduation [RR (95% CI)- 3.6 (1.15–6.3)] (Additional file 1, Table S11).

Gender, baseline GCS, cranial nerve palsy and hemiparesis on presentation went forward into multivariate analysis where only hemiparesis remained significant in the final model (OR = 0.05, p = 0.04 [95% CI 0.003, 0.92]).

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