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The multivariate analysis resulted in highly statistically significant differences (Wilks Lambda = 0.91; F = 3.41; df = 16,1162; p <.001).
Multivariate analysis resulted in a final model of five prognostic variables for DFS and four prognostic variables for OS.
The estimations of both univariate and multivariate analysis resulted in odds ratio (OR) with their 95% confidence intervals (CI).
Combining these variables in the multivariate analysis resulted in a hazard ratio for AKAP13 of 1.84 (p = 0.031) (Additional file 4: Table S3).
Multivariate analysis resulted in a relative 11%9595% CI (4% to 18%), p<0.01) increase in OAT initiation for incident AF patients.
The multivariate analysis resulted in a final multivariate panel of biomarkers selected from the initial candidate panel based on statistical variable selection performed within the Random Forests package in R (Breiman et al, 1984; Breiman, 2001).
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Table 4 presents the results of multivariate analysis resulting from the Cox regression model, taking into account the confounding factors (age and smoking).
MYC translocations had a significant impact on OS and PFS in univariate analysis (Table 3), which carried over into multivariate analysis, resulting in a significant decrease in OS and PFS for patients with a MYC translocation.
Section 3 presents descriptive statistics and multivariate analysis results.
Fig. 1 Multivariate analysis results for all BSI and sub-groups.
28-day mortality in the TB group was 75.6% (31/41), and the group showed a similar degree of APACHE II and pulmonary involvement to the death group; multivariate analysis results did not find significant prognostic factors.
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