Examples of using The multivariate regression in English and their translations into Portuguese
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The multivariate regression analysis was performed by six(50%) of these studies,
The multivariate regression model was run in the stepwise mode p>
with their children and maternal work outside the home were not associated with any dietary pattern in the multivariate regression models.
only those with statistically significant differences were included in the multivariate regression model stepwise method.
t) used in the multivariate regression analysis(Erceg-Hurn& Mirosevich, 2008) are based on.
of the explanatory variable obtained in the multivariate regression model in which both the dependent variable(share of eating away from home in the stratum) and the independent variable(monthly
In the multivariate regression, as shown in Table 3, it is observed
When the multivariate regression was performed Table IV to correlate epidemiological variables with altered scores of anesthesiologists' Group A,
their related geographic areas seven region-area interaction terms were first included in the multivariate regression model: 1 North region
The multivariate regression model was adjusted through a stepwise method.
After the multivariate regression analysis had been adjusted for height, weight presented a statistically significant association with airway resistance.
but not in the multivariate regression model p 0.037.
We concluded that, in the multivariate regression analysis, the relevant factors for the determination of the Rint value were height and weight.
In turn, the multivariate regression analysis, which suppressed the confounding effects,
The multivariate regression analysis model, having the MAC-Q
Table 2 describes the results of the multivariate logistic regression analysis.
The multivariate logistic regression analysis was used to determine odds ratios.
The multivariate logistic regression was used for the joint evaluation of variables associated with death.