In this paper, we propose a user-friendly estimator to implement the method of difference-in-differences with ordinal ...

Halva—‘grapHical Analysis with Latent VAriables’—is a Python package dedicated to statistical analysis of multivariate ordinal data, designed specifically to handle missing values and latent variables ...

Find out how and why mathematics is used in microeconomics, its limitations, and the math skills that economics students need.

ABSTRACT: This study investigates the application of cumulative link models with alternative distributions (hyperbolic secant, Laplace, and Cauchy) to model ordinal outcomes of depressive severity ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

Although the vast majority of physicians using an artificial intelligence (AI) scribe perceived a reduction in documentation time, those with the most actual time savings had higher relative baseline ...

Objectives To examine the association between social determinants of health (SDH) and outcomes in systemic lupus ...

Abstract: The Ordinal Pattern-Based Mode Decomposition (OPMD) is a novel data-driven method recently introduced for processing weakly stationary signals embedded in noise. It exploits the filtering ...

Objectives Although menstrual cups have a long history and numerous benefits, many women of reproductive age remain unaware. This study assessed the knowledge, attitude and use regarding menstrual ...

Introduction We aimed to determine the association between paternal labour migration and the growth of the left-behind ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Ordinal regression and classification methods form a vital branch of statistical learning wherein the outcome variable possesses an inherent order. Unlike conventional classification problems, where ...