This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

Want to understand logistic regression? Explore our guide to learn its applications and advantages in data analysis.

I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.

In this paper we discuss collapsibility of logistic regression coefficients over a background variable and present necessary and sufficient conditions for collapsibility.

SimpleNomo, an open-source Python Toolbox, and an online platform that generates nomograms directly from logistic regression coefficients and the range of variables are available through a recent ...

Logistic regression enables you to investigate the relationship between a categorical outcome and a set of explanatory variables. The outcome, or response, can be dichotomous (yes, no) or ordinal (low ...

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.

After discussing several examples of logistic regression, we present and illustrate statistics for evaluating the goodness of fit and predictive efficacy of a DLR model. Teaching Sociology publishes ...