Examples of using Multivariate model in English and their translations into Portuguese
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Colloquial
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Medicine
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
We also tested the influence of individual factors in life expectancy in a multivariate model Table 2.
The statistically significant comparisons were tested in multivariate model to identify confounding factors addressed by the evaluation of 13 magnetic resonance images MRI.
Even in a multivariate model, time of CPB
Poisson regression with robust variance estimation was used in the multivariate model, variables that presented statistical significance of 20% were inserted p.
Therefore, only weight and time of CPB were assessed in the multivariate model.
we decided not to include the type of lesion in the multivariate model.
After that, variables with p> 0.20 were eliminated one by one in the multivariate model.
Multivariate model confirmed the associations detected in the univariate analysis regarding hyperactivity problems,
In the final Cox multivariate model, using all ICD patients,
The multivariate model included the variables associated with the number of vocal symptoms at 20% significance level in the univariate analysis.
The multivariate model included all variables associated to both outcome and exposure p.
The multivariate model results for the pain symptoms in the four assessed areas are shown in Table 4.
In both approaches, the multivariate model included variables with p<
Forward and backward stepwise multivariate model analyses p 0.10 were conducted to assess which factors independently predicted readmission
The final multivariate model was constructed by stepwise introduction of the previously selected variables,
On multivariate model, high blood pressure associated p<
Goodness-of-fit of the multivariate model was evaluated by the Hosmer and Lemeshow test.
Their recommendation was the development of multivariate model to predict difficult intubation in daily anesthetic practice.
The final multivariate model considered as factors associated with increased TC the independent variables that showed p smaller than
All described covariates simultaneously entered the final multivariate model, as they did not show evidence of collinearity(variance inflation factor< 5.0)19 19.