This article derives a new family of estimators, namely the minimum density power divergence estimators, as a robust generalization of the maximum likelihood estimator for the polytomous logistic ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Want to understand logistic regression? Explore our guide to learn its applications and advantages in data analysis.

Multiple logistic regression models identified various combinations of these factors as predictive of MMR maintenance (Table 2 and for all the details, see the Data Supplement, Table S4).

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...

A large study of a school-based eye exam program found substantial need for new and updated eyeglass prescriptions, particularly in boys and those in higher grade levels, according to an analysis ...