As the coronavirus disease 2019 (COVID-19) pandemic has spread across the world, vast amounts of bioinformatics data have been created and analyzed, and logistic regression models have been key to ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

The officials cite "deeply troubling reports of dangerous interactions" that have "rightly shaken the American public's confidence." Authors Grady Hendrix and Jennifer Roberson sue Apple, alleging it ...

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 ...

Dr. James McCaffrey of Microsoft Research says the main advantage of scikit is that it's easy to use (even though most classes have many constructor parameters). Logistic regression is a machine ...

The design of research studies utilizing binary multilevel models must necessarily incorporate knowledge of multiple factors, including estimation method, variance component size, or number of ...

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 ...

An editorial in JMIR Medical Informatics explores the rapid rise of ambient AI scribes, highlighting their potential to ease clinician burnout and improve patient care. The authors also warn of risks ...