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.

The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity.

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

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.

Outcome-dependent sampling increases the efficiency of studies of rare outcomes, examples being case-control studies in epidemiology and choice-based sampling in econometrics. Two-phase or double ...

The Fisher information matrix for the estimated parameters in a multiple logistic regression can be approximated by the augmented Hessian matrix of the moment-generating function for the covariates.

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