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

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.

What are the advantages of logistic regression over decision trees? This question was originally answered on Quora by Claudia Perlich.

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

Dr. James McCaffrey of Microsoft Research uses code samples, a full C# program and screenshots to detail the ins and outs of kernal logistic regression, a machine learning technique that extends ...

In logistics regression, you can use machine learning to help predict the probability of the outcome of a situation with two potentials. For instance, it is good for predicting whether something ...

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 ...

Binary-response regression models in which the link function is a family defined by one or more unknown shape parameters are considered. Detailed attention is given to the two single-parameter ...

Given logistic regression is substantially more computationally efficient than Cox regression in both settings, we propose a two-step approach to GWAS in cohort and case-cohort studies.