Results 111 to 120 of about 17,167,783 (309)

Estimasi Parameter Item dan Latent Class dengan Model Dina untuk Diagnosis Kesulitan Belajar

Jurnal Ilmu Pendidikan, 2013
: Estimation of Item Parameter and Latent Class with DINA Model to Diagnose Learning Difficulties. This study aims to estimate item parameter of diagnostic test developed with DINA model and identify attribute profiles of each test participant.
- Kusaeri, - Suryanto, - Kumaidi
doaj   +1 more source

Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns

Arthritis Care &Research, Accepted Article.
Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen, Yasuo Nagafuchi, Kristina Lend, Seyam Alemyar, Herman Kasper Glas, Gerdur Gröndal, Bjorn Gudbjornsson, Espen A. Haavardsholm, Kim Hørslev Petersen, Jon Lampa, Merete Lund Hetland, Dan Nordström, Mike Nurmohamed, Mikkel Østergaard, Anna Rudin, Marte Schrumpf Heiberg, Tuulikki Sokka‐Isler, Till Uhlig, Josien Veris‐van Dieren, Ronald van Vollenhoven, Tom Huizinga, Marcel JT Reinders, Sytske Anne Bergstra, Erik van den Akker, Rachel Knevel   +24 more
wiley   +1 more source

Is It Sufficient to Select the Optimal Class Number Based Only on Information Criteria in Fixed- and Random-Parameter Latent Class Discrete Choice Modeling Approaches?

Econometrics
Heterogeneity in preferences can be addressed through various discrete choice modeling approaches. The random-parameter latent class (RLC) approach offers a desirable alternative for analysts due to its advantageous properties of separating classes with ...
Péter Czine, Péter Balogh, Zsanett Blága, Zoltán Szabó, Réka Szekeres, Stephane Hess, Béla Juhász   +6 more
doaj   +1 more source

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High Body Mass Index

Arthritis Care &Research, EarlyView.
Objective High body mass index (BMI ≥ 27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source

Multilevel Latent Class with CUB Models

Journal of Classification
Abstract We propose a latent class model for ordinal data with CUB (combination of discrete uniform and shifted binomial) distributions in the case of multilevel structures of the data. The CUB model is a powerful approach to the analysis of ordinal data, where the elicitation process is thought to be governed by a feeling parameter ...
Piras, Nicola, Columbu, Silvia, Jacques, Julien   +2 more
openaire   +1 more source

Selected latent class model: Response probabilities.

, 2018
Selected latent class model: Response probabilities.
Kim Huijpen (5047832), Maartje E. J. Raijmakers (5047835), Tessa J. P. van Schijndel (5047838), Ingmar Visser (818540)   +3 more
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Valuing Consumer Preferences with the CUB Model: A CaseStudy of Fair Trade Coffee

International Journal on Food System Dynamics, 2010
D'Elia and Piccolo (2005) have recently proposed a mixture distribution, named CUB, for ordinal data. The use of such a mixture distribution for modelling ratings is justified by the following consideration: the judgment that a subject expresses is the ...
Gianni Cicia, Marcella Corduas, Teresa Del Giudice, Domenico Piccolo   +3 more
doaj  

Latent Oral Health Phenotypes Associated With Self-Rated Sleep Quality Trajectories in Older Adults

International Dental Journal
Introduction: Oral conditions in later life tend to cluster, yet their combined association with longitudinal self-rated sleep-quality trajectories remains unclear.
Yiwen Shi, Xuan Jiang, Meizhi Cai, Jie Chang, Yifan Huang   +4 more
doaj   +1 more source

Latent class modeling and typological analysis

Sistemi Urbani, 1991
(no abstract available)
Ernste, Huib, Fischer, Manfred M.
openaire   +3 more sources