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

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.

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.

Rohan Kumar, R. Anbalagan, Landslide susceptibility zonation of Tehri reservoir rim region using binary logistic regression model, Current Science, Vol. 108, No. 9 (10 May 2015), pp. 1662-1672 ...

Nicholas G. Polson, James G. Scott, Jesse Windle, Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables, Journal of the American Statistical Association, Vol. 108, No. 504 ...

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

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.