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 presents a complete demo program for logistic regression, using batch stochastic gradient descent training with weight decay. Compared to other binary classification techniques, logistic ...

Introduction: We present an ordinal logistic regression model for identification of items with differential item functioning (DIF) and apply this model to a Mini-Mental State Examination (MMSE) ...

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.

This article demonstrates the preferred pattern for the application of logistic methods with an illustration of logistic regression applied to a data set in testing a research hypothesis.

Figure 11.16: Logistic Regression: Analysis Results When the explanatory variables in a logistic regression are relatively small in number and are qualitative, you can request a goodness-of-fit test.