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Neither Cox nor Weibull model in both univariate and multivariate analysis show any evidence about significant differences in gender and family history of cancer.
Results of the multivariate analysis show that IL-6 levels remain independent variables for survival when assessed with clinical prognostic markers.
Results of the multivariate analysis show that the family history of the cancer appears a significant factor in all fitted models.
Our finding of multivariate analysis show that patients treated latest, in the years 1989 98 are at highest risk for any injury of the heart.
Results of the multivariate analysis show that four independent variables remained in the final model and these had a statistically significant correlation with the children's dental caries experience, namely the child's snacking frequency, dental attendance, parental dental knowledge and family income (Table 4).
In addition to receiving the designed multifactorial intervention, the models obtained from the multivariate analysis show that adherence is also related to the number of visits to the health centre; the number of exacerbations; disease severity; health status as measured by the activity and impact scales of the SGRQ; Beta-2 adrenergic agonist and xanthine prescriptions; and the number of devices.
Similar(54)
The multivariate analysis showed significant results on left-sided regions.
Multivariate analysis showed a correlation between the Glasgow coma scale and mortality.
The multivariate analysis showed that the independent predictors were both Saps 3 and NYHA score.
Multivariate analysis showed that variable most related with mortality is the lowest lymphocytes count.
Multivariate analysis showed than the mechanical ventilation was an independent variable related with mortality (p < 0,05).
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