Examples of using Logistic regression in English and their translations into Spanish
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Choose Stat> Regression> Ordinal Logistic Regression.
A simple binary logistic regression model was developed.
Triangulation of a qualitative research by logistic regression.
Ordinal logistic regression was used to model the DAI index.
Multivariate analysis using logistic regression was carried out.
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Keywords: academic performance; prediction;ordinal logistic regression.
A multivariate logistic regression model was used in 2012.
Crude and adjusted analyses were performed using unconditional logistic regression. Results.
A multivariate logistic regression model for mortality was carried out.
Logistic regression confirmed these as independent variables for continuing to work.
The statistical analyses will be based on logistic regression and a survival analysis.
A binary logistic regression model was made for the multivariate analysis.
In the following exercise,you will explore logistic regression and classification in TensorFlow.
Cubic logistic regression was used to investigate the association of interest.
The statistical methods used were binary logistic regression and linear discriminant analysis.
Ordinal logistic regression was used to evaluate the factors associated with VAL.
Descriptive statistical analysis and logistic regression was performed to find association between variables.
Logistic regression is recommended to integrate more variables in future investigations.
Finally, a multivariate analysis using logistic regression was performed controlling for potential confounders.
Logistic regression was used to determine the obesity risks factors.
Non conditional logistic regression was computed to adjust associated variables.
We used logistic regression to adjust the treatment outcome for potential confounders.
Additionally, a binary logistic regression was performed to obtain evidence of predictive validity.
A logistic regression was performed to explore factors associated with pregnancy smoking.
Hierarchical logistic regression was used to model the dichotomous TB outcome;
Ordinal logistic regression was used in the multivariate analysis.
An ordered logistic regression analysis was performed separately for each age group.
For binary logistic regression, Minitab shows two types of regression equations.
A multivariable logistic regression and a tabular analysis stratified by device were performed.