R-codebase for a scientific research article, titled "Modelling the term-structure of default risk under IFRS 9 within a multistate regression framework" ...

The key difference between the two is that logistic regression uses a statistical function (the logistic or sigmoid function) to transform the regression line to fit with the binary outcome (the fact ...

Binary and multinomial logistic regression were used to compare the prevalence of self-reported chronic medical conditions among jail (n = 6582) and prison (n = 14 373) inmates and ...

A comprehensive machine learning web application for diabetes prediction, featuring real-time model evaluation and interactive performance visualization. This platform combines modern ML techniques ...

We've tried and tested dozens, and have created a definitive list of the six best binary options brokers for all investors in February 2025. There are both desktop and mobile applications that ...

We used latent class analysis which allowed us to go beyond a simple binary comparison between social and academic belonging to ... Conceptual model of the social and academic belonging mixture model.

Independent associations between patient characteristics and treatment pathway (centre interacting with year), and GMM classes, were investigated using multinomial logistic regression (LR).