Examples of using Logistic regression in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Logistic regression models were run with all these variables.
Logistic regression was used for multivariate analysis, following common recommendations.
Table 2 describes the results of the multivariate logistic regression analysis.
Logistic regression models were fitted for each region in Brazil.
Multivariate logistic regression analysis.
Logistic regression was performed using SPSS version 12 for Windows.
Multiple Logistic Regression Analysis.
Therefore, binary logistic regression was employed using the backward method.
It uses logistic regression in a theoretical, hierarchical determination model.
Logistic regression was used to adjust for confounding variables.
In the logistic regression model three variables which presented p.
Multiple logistic regression multivariate analysis was conducted with MACE as a dependent variable.
Logistic regression analysis was employed to estimate odds ratios OR.
The multinomial logistic regression has the following specification.
Multivariable logistic regression.
A logistic regression model was estimated, adjusted for confounding factors.
Logistic regression and Cox analysis were performed for confounder control.
Logistic regression compared the outcomes with the following variables.
Logistic regression following univariate analysis of the data led to four variables remaining.
These differences were corrected by logistic regression, nonetheless.