Exemplos de uso de Multinomial logistic em Inglês e suas traduções para o Português
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The Table 3 showed the multinomial logistic regression analysis.
Multinomial logistic regression final model is presented in Table 2.
Table 3 shows the results of multinomial logistic regression.
The multinomial logistic regression has the following specification.
The analysis was carried out using multinomial logistic regression.
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Multinomial logistic regression was used in the multivariate analysis.
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Crude and adjusted odds ratios were calculated through multinomial logistic regression.
The analysis used multinomial logistic regression with a hierarchical model.
We used bivariate andmultivariate analyzes, with multinomial logistic regression.
Multinomial logistic regression was used in a crude analysis, which was adjusted to estimate the Odds Ratio OR.
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Table 2presents the results of multinomial logistic risk factors of different categories of anemia.
Multinomial logistic regression is useful for modeling probabilities of multiple category outcomes simultaneously.
The variables included in the multivariate model of multinomial logistic regression are presented in Table 3.
The multinomial logistic regression model enabled to disaggregate functional capacity into more than two categories.
Statistical analysis was carried out using chi-square tests, multinomial logistic regression and Cox regression.
We used multinomial logistic regression with risk ratio(RR) estimates and their respective confidence intervals 95%CI.
In order toidentify the factors that differentiated the groups, a multinomial logistic regression analysis was performed.
Table 2- Multinomial logistic regression analysis to assess factors independently associated with normal and low self-esteem.
The association between ltpi and independent variables was assessed through multinomial logistic regression analysis crude and adjusted.
Odds Ratio obtained through multinomial logistic regression, having as reference category"never tried cigarettes.
A generalisation of the logistic function to multiple inputs is the softmax activation function,used in multinomial logistic regression.
The multivariate analysis was done through multinomial logistic regression, with calculations of the simple and adjusted odds ratios OR.
A multinomial logistic regression adjusted analysis was performed taking as reference the category active commuting to work.
To test the effect of the independent variables on the outcome, a multinomial logistic regression model was used according to the hierarchical model, resulting in an analysis divided into two stages.
The multinomial logistic regression showed that being female represented a risk factor for the presence of moderate pain adjusted or 7.256.