Exemplos de uso de Variables that presented em Inglês e suas traduções para o Português
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
The variables that presented p.
In bivariate analysis, the variables that presented p.
Variables that presented p-values.
At this stage(partial models), the variables that presented p-values.
The variables that presented a p-value.
The backward process was adopted in both analyses, with all variables that presented a p-value.
The variables that presented p-values.
In the subsequent levels of the analysis, the variables that presented level of significance p.
The variables that presented level of significance p.
The multiple logistic regression analysis was performed, considering the variables that presented p.
The variables that presented associations at the level of p.
In the multiple model,we included all the variables that presented p< 0.20 in the bivariate analysis.
The variables that presented with a significance level of p.
Age, stressful events, work support, anddepression were the variables that presented correlations with BS and its categories.
The variables that presented statistical significance with p.
Multiple analysis was performed using the Poisson Regression model,including all variables that presented an association with p-value.
Variables that presented significance level.
Subsequently, a multivariate analysis logistic regression was carried out, including all variables that presented p< 0.25 in the univariate analysis.
The variables that presented significant statistical association p.
Poisson regression with robust variance estimation was used in the multivariate model, variables that presented statistical significance of 20% were inserted p.
The variables that presented a statistical association with anemia with p.
Analysis of variance F- used to compare the means of the variables that presented a normal distribution and homogeneity of variance at Bartley's test.
Variables that presented p< 0.25 were maintained and tested in multiple models.
Finally, we present in Table 6 the results of the consolidated model,which unites only the variables that presented statistical significance in the previous models.
Other variables that presented positive and statistically significant association were.
In multivariate analysis,a logistic regression model was used to determine factors associated with UI, with all variables that presented a statistical significance of at least 20% p.
The variables that presented a p< 0.10 in the univariate analysis were included in the initial model.
Afterwards, these analyses were adjusted according to socioeconomic and clinical variables, using Poisson Regression models.Thus, variables that presented p.
The variables that presented association with birth weight in the bivariate analyses with level of significance.
The main limitation of the study was that no survey of these stress factors was performed. Furthermore,not delineating the variables that presented uniformity regarding the problems experienced hindered further analysis of the effects of the auriculotherapy on the Coping strategies.