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The use of a multivariate analysis combining the information of all the enzyme activities highlighted differences between treatments.
Unfortunately, the study design used did not allow a multivariate analysis combining the fast dynamic data with morphological characteristics.
Multivariate analysis combining the CV5 variable and the AF trait led to a significant increase in maximum LRT compared to the AF trait.
In multivariate analysis combining RBM47 expression with estrogen, progesterone and HER2 receptor status (ER, PR and HER2), the association with brain metastasis remained statistically significant.
In this work, we address the effect of variations in multiple reaction parameters simultaneously by using a multivariate analysis combining global sensitivity analysis with decision tree analysis.
We showed high sensitivity and specificity (97.8% and 76.9%, respectively) for necrosis and enhancement as they were the best predictor variables of MRI in grading gliomas based on the results of the multivariate analysis combining conventional MRI variables.
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We applied direct multivariate analysis combined with partial analysis to quantify the effects of environmental variables on bird species in this study.
In the multivariate analysis, combined antibiotic therapy (OR 0.23, 95%% CI 0.07 0.74) and early antibiotic treatment (OR 0.07, 95%% CI 0.02 0.22) were independently associated with decreased intensive care unit mortality.
In the multivariate analysis, combined ↑cancer, and ↑stromal cell CXCL16 expression was an independent positive prognostic factor when compared to ↓stromal and ↓cancer cell expression (HR: 0.42; 95 % CI: 0.20 0.88; P = 0.022).
In order to assess the potential correlations between variables, a mixed multivariate descriptive analysis combining quantitative and qualitative variables [ 21] was performed.
Multivariate logistic regression analysis combining HIV-1 RNA, treatment status and duration of HAART as independents showed, however, that the treatment status and the duration of HAART had no significant effect on the result of any algorithm.
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