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Logistic regression is used when you have a classification problem. This means that your target variable (a.k.a. the variable you are interested in predicting) is made up of categories.

Standard chi-squared, X2, or likelihood ratio, G2, test statistics for logistic regression analysis, involving a binary response variable, are adjusted to take account of the survey design. These ...

When these performances were compared to the logistic regression model, 3,386 samples were used for the analysis and 2,694 of these were associated with severe outcomes, and 692 associated with ...

David Muchlinski, David Siroky, Jingrui He, Matthew Kocher, Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data, Political Analysis, Vol. 24, No. 1 ...