Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Poor pre-COVID-19 HRQOL was associated with a greater number of symptoms in patients who developed long COVID.

Clustered multinomial data are prevalent in a variety of applications such as microbiome studies, where metagenomic sequencing data are summarized as multinomial counts for a large number of bacterial ...

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 ...

A new study by the University of Eastern Finland explored who are most likely to adopt and actively use digital apps designed to promote well-being in North Savo, in the Eastern part of Finland. The ...