Exemplos de uso de Logistic regression em Inglês e suas traduções para o Português
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Binary logistic regression was used p< 0.05.
Data analysis used ordinal logistic regression.
Ordinal logistic regression in epidemiological studies.
Table 3 presents the results of the logistic regression.
Logistic regression was applied as odds ratios OR and 95%CI.
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The results of the logistic regression model was p.
Logistic regression of the data was analyzed hierarquically.
We selected for the logistic regression variables with p.
Table 3 shows the results of multinomial logistic regression.
Binary logistic regression was used in the other situations.
The statistical model used was the multiple logistic regression.
Logistic regression models were run with all these variables.
For purposes of analysis,we used the ordinal logistic regression.
Multi-level multiple logistic regression with the following variables.
Analysis of factors associated with accidents Logistic Regression.
We used logistic regression univariate and multivariate analysis.
In the multivariable analysis, binary logistic regression was used.
Multinomial logistic regression final model is presented in Table 2.
Keywords: motor disability;life satisfaction; logistic regression.
Logistic regression Age, schooling, comorbidities, functional incapacity.
Statistical analysis included logistic regression and Student's t-test.
Logistic regression was used to assess independent death predictors.
Palabras clave: motor disability;life satisfaction; logistic regression.
The results of univariate logistic regression analyses are shown in Table 3.
The predictive values were analyzed using a multivariate logistic regression.
The study applied logistic regression and multinomial polytomous logistic regression. .
Correlations were analyzed using simple and multivariate logistic regression analysis.
Logistic regression was used for multivariate analysis, following common recommendations.
We performed multivariate analysis with logistic regression and correspondence analysis.
Logistic regression and other log-linear models are also commonly used in machine learning.