Results 161 to 170 of about 179,170 (301)

A note on the ordinal canonical correlation analysis of two sets of ranking scores

In this paper we have proposed a method to conduct the ordinal canonical correlation analysis (OCCA) that yields ordinal canonical variates and the coefficient of correlation between them, which is analogous to (and a generalization of) the rank ...
Mishra, SK
core  

Model choice and diagnostics for ordinal data with robust estimation

, 2018
Ordinal regression models are commonly implemented for analysing an ordinal response variable as a function of some explanatory covariates. The Maximum Likelihood (ML) estimators are used for estimating the unknown parameters of these models but gross ...
M. IANNARIO
core  

Lung Ultrasound for the Detection of Radiologic Progression of Interstitial Lung Abnormalities in Patients With Rheumatoid Arthritis

Arthritis &Rheumatology, EarlyView.
Objective Interstitial lung disease (ILD) is an important extra‐articular manifestation of rheumatoid arthritis (RA) associated with high mortality and morbidity. Lung ultrasonography (LUS) has recently emerged as a possible screening tool. We assessed the role of LUS in monitoring radiologic progression and the development of new interstitial lung ...
Marie Vermant, Valerie Van Ballaer, Joseph Jacob, Tine Follet, Ryoko Egashira, Kenny Anseele, Heleen Cypers, Laurens J. De Sadeleer, Nico De Crem, Tinne Goos, Barbara Neerinckx, Veerle Taelman, Nathalie Veyt, Alexandros Kalkanis, Patrick Verschueren, Wim A. Wuyts   +15 more
wiley   +1 more source

A statistical model for consumer preferences: the case of extravirgin olive oil

, 2015
The CUB model is a mixture distribution recently proposed in literature for modelling ordinal data. In this article we investigate how this univariate distribution can be exploited in order to model the margins of multivariate ordinal data. In particular,
CORDUAS, MARCELLA
core  

autoscoRA: Deep Learning to Automate Sharp/van der Heijde Scoring of Radiographic Damage in Rheumatoid Arthritis

Arthritis &Rheumatology, EarlyView.
Objective Regular imaging by conventional radiography to assess for joint damage is a cornerstone in the management of rheumatoid arthritis. Scoring systems to quantify such damage, such as the widely used Sharp/van der Heijde (SvdH) score, are limited by the requirement of time and experienced staff as well as intra‐ and interrater variability.
Thomas Deimel, Paul J. Weiser, Martin Urschler, Christian Payer, Peter Mandl, Georg Langs, Daniel Aletaha   +6 more
wiley   +1 more source

Anatomy education experiences of physical education professionals in a wellness‐centered era: Evidence from South Korea

Anatomical Sciences Education, EarlyView.
Abstract Understanding human anatomy is crucial for professionals working in physical education–related fields. However, anatomy education in South Korean universities is often perceived as insufficiently aligned with professional demands. This study aims to document current experiences and perceptions of anatomy education among individuals engaged in ...
Kyu‐Lim Lee, Jun‐Young Sung, Hee‐Jin Kim   +2 more
wiley   +1 more source

Comparative evaluation of radiological anatomy knowledge and accuracy of ChatGPT‐5, Gemini 2.5, and Grok 4 across normal and thinking modes

Anatomical Sciences Education, EarlyView.
Workflow for comparing three LLMs in radiographic anatomical identification using 30 radiographs and 196 anatomy questions across Normal and Thinking modes, with expert scoring and temporal consistency analysis. Abstract This study compared the performance of three large language models, ChatGPT‐5 Plus, Gemini 2.5 Pro, and SuperGrok 4, in identifying ...
Ismail Sivri, Furkan Mehmet Ozden, Halit Celik, Ozgur Gokturk, Tuncay Colak   +4 more
wiley   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Multivariate mixed models accounting for don't know options in ordinal data. [PDF]

J R Stat Soc Ser A Stat Soc
Gueorguieva R, Iannario M.
europepmc   +1 more source

Methodological challenges in content‐based citation analysis: Expertise, reliability, and the primacy of citance identification

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Content‐based citation analysis seeks to capture the meaning and functions of citations but continues to face unresolved methodological challenges. This study analyzes a stratified sample of library and information science publications to examine how citance segmentation and annotator expertise influence the consistency of classification ...
Zehra Taşkın
wiley   +1 more source