Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

The researchers reviewed how LLMs are being used currently as a technological tool and how they may be used in the future as ...

Abstract: It is not uncommon that real-world data are distributed with a long tail. For such data, the learning of deep neural networks becomes challenging because it is hard to classify tail classes ...

The objective of this study was to evaluate the use of probit and logit link functions for the genetic evaluation of early pregnancy using simulated data. The following simulation/analysis structures ...

When you think of the name of a vehicle, you probably think of its make and model. For example, if someone asks what kind of car you have, you may answer with something like, "a small blue car," or ...

The word "model" is used a lot in discussions about economics. However, economics courses often don’t spend a lot of time defining the word or what exactly it means. Rather, students usually end up ...

Abstract: This study examines logit models applied to the truck route choice problem using GPS trucking data from the Dallas metropolitan area. Instead of assuming a constant coefficient for each ...

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 ...

ABSTRACT: Multimorbidity, the coexistence of two or more chronic conditions in an individual, is increasingly prevalent worldwide, posing significant challenges for healthcare systems and patient well ...