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 ...

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 ...

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

A new study by the University of Eastern Finland explored who are most likely to adopt and actively use digital apps designed ...

There is no established procedure for testing for trend with nominal outcomes that would provide both a global hypothesis test and outcome-specific inference. We derive a simple formula for such a ...