We compared predictive abilities for two survival models (Cox proportional hazards and random survival forest) and four classification methods (logistic regression, support vector machines, random ...

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

Understand logistic regression, a key statistical method for relationships with binary outcomes. Explore its formula, assumptions and practical applications.

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

Magne Thoresen, Petter Laake, A Simulation Study of Measurement Error Correction Methods in Logistic Regression, Biometrics, Vol. 56, No. 3 (Sep., 2000), pp. 868-872 ...

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 ...