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

The group lasso estimator for logistic regression is shown to be statistically consistent even if the number of predictors is much larger than sample size but with sparse true underlying structure. We ...

Logistic regression with random effects is used to study the relationship between explanatory variables and a binary outcome in cases with nonindependent outcomes. In this paper, we examine in detail ...

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

To collect data for the development of a more universally useful logistic regression model to distinguish between a malignant and benign adnexal tumor before surgery.

A Refresher on Regression Analysis Understanding one of the most important types of data analysis. by Amy Gallo November 4, 2015 uptonpark/iStock/Getty Images ...