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We use factor score from the six-factor oblique model for Big Five and from the two-factor model for Grit-S in multivariate analyses presented in the paper.
Multivariate analyses presented do not include patients with missing values for any of the variables included.
The multivariate analyses presented below include both 4th-grade reading and mathematics.
Note that these data are used in the present study only in the multivariate analyses presented below.
The PCA results were used to construct the index of the use RHIS information for the bivariate and multivariate analyses, presented in the results section.
Multivariate analyses presented in this table were performed on 177 subjects, as history of hypertension and smoking status were not available in 40 cases.
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Multivariate logistic analyses present adjusted OR (AOR), signifying the statistical association between predictors and outcomes while controlling for all factors.
Both descriptive statistics and results from multivariate analyses are presented.
Multivariate analyses are presented utilizing metavariables that were obtained in the curve fitting process of the measured parameters growth and respiration and the factor growth efficiency.
Results of multivariate analyses are presented as odds-ratios and 95%-confidence intervals.
Results of the multivariate analyses are presented in Tables 3 and 4. In the total material, tumor depth (P = 0.046), tumor size (P = 0.045), high malignancy grade (P<0.001), lack of surgery (P<0.001), non-wide resection margins (P = 0.004) and metastasis at diagnosis (P<0.001), but none of the angiogenic markers, were significant independent prognostic indicators of DSS (Table 3).
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