Examples of using Multivariate logistic regression in English and their translations into Portuguese
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As for the multivariate logistic regression, the factors associated with significant lesions were dyslipidemia,
followed by the adjustment of the multivariate logistic regression model.
remained significant after multivariate logistic regression.
Multivariate logistic regression was used to obtain odds ratio
The multivariate logistic regression model was used to study the several factors influencing the occurrence of cholelithiasis.
After multivariate logistic regression, clinical severity C p=0.03;
Variables associated with the outcome with p¿0.20 in univariate analyzes were included in a multivariate logistic regression model for each age, with criteria for remaining in the final model p¿.
For the multivariate logistic regression, the factors that were significantly associated in the univariate analysis were selected.
with a probability up to 0.20, were included in a multivariate logistic regression model.
The association of pf as a continuous variable with the presence of cac was analyzed by multivariate logistic regression.
it was performed multivariate logistic regression.
we applied the multivariate logistic regression method.
Multivariate logistic regression analysis was used to determine which of the variables were associated with outcomes such as mechanical ventilation,
Multivariate logistic regression analysis was performed to identify independent determinants of outcomes,
The following variables were included in the predictive multivariate logistic regression model, which achieved statistical significance p.
Multivariate logistic regression analysis was performed with gender,
According to our multivariate logistic regression analysis, an association with best IAIC response was observed in only seven baseline variables.
Multivariate logistic regression models using stepwise selection were applied to determine the independent association of baseline characteristics
At the multivariate logistic regression analysis, the absence of blood flow leak was an independent predictor of achieving PV isolation.
The multivariate logistic regression models were built to predict factors of difficulty