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

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.

We used logistic regression as a method of sensitivity analysis for a stochastic population viability analysis model of African wild dogs (Lycaon pictus) and compared these results with conventional ...

The term "logistic regression" encompasses logit modeling, probit modeling, and tobit modeling and the significance tests of their estimates. A total of 52 articles were identified as using logistic ...

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.

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.

Informal and nontechnical, this book both explains the theory behind logistic regression and looks at all the practical details involved in its implementation using the SAS System. Several social ...