Results 21 to 30 of about 341,153 (250)

Approximate Invariance Testing in Diagnostic Classification Models in the Presence of Attribute Hierarchies: A Bayesian Network Approach

Psych, 2023
This paper demonstrates the process of invariance testing in diagnostic classification models in the presence of attribute hierarchies via an extension of the log-linear cognitive diagnosis model (LCDM).
Alfonso J. Martinez, Jonathan Templin
doaj   +1 more source

Three-dimensional printing models increase inter-rater agreement for classification and treatment of proximal humerus fractures

Patient Safety in Surgery, 2022
Background Proximal humerus fractures (PHF) are frequent, however, several studies show low inter-rater agreement in the diagnosis and treatment of these injuries.
Luiz Fernando Cocco, André Yui Aihara, Flávia Paiva Proença Lobo Lopes, Heron Werner, Carlos Eduardo Franciozi, Fernando Baldy dos Reis, Marcus Vinicius Malheiros Luzo   +6 more
doaj   +1 more source

A general diagnostic classification model for rating scales [PDF]

Behavior Research Methods, 2019
This study proposes and evaluates a general diagnostic classification model (DCM) for rating scales. We applied the proposed model to a dataset to compare its performance with traditional DCMs for polytomous items. We also conducted a simulation study based on the applied study condition in order to evaluate the parameter recovery of the proposed model.
Ren Liu, Zhehan Jiang
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Relating the One-Parameter Logistic Diagnostic Classification Model to the Rasch Model and One-Parameter Logistic Mixed, Partial, and Probabilistic Membership Diagnostic Classification Models

Foundations, 2023
Diagnostic classification models (DCMs) are statistical models with discrete latent variables (so-called skills) to analyze multiple binary variables (i.e., items).
Alexander Robitzsch
doaj   +1 more source

On the Boundary Problems in Diagnostic Classification Models

Behaviormetrika, 2021
In diagnostic classification models, parameter estimation sometimes provides estimates that stick to the boundaries of the parameter space, which is called the boundary problem and may lead to extreme values of standard errors. However, the relationship between the boundary problem and irregular standard errors has not been analytically explored.
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Modeling rater diagnostic skills in binary classification processes [PDF]

Statistics in Medicine, 2017
Many disease diagnoses involve subjective judgments by qualified raters. For example, through the inspection of a mammogram, MRI, or ultrasound image, the clinician himself becomes part of the measuring instrument. To reduce diagnostic errors and improve the quality of diagnoses, it is necessary to assess raters' diagnostic skills and to improve their ...
Xiaoyan Lin, Hua Chen, Don Edwards, Kerrie P. Nelson   +3 more
openaire   +2 more sources

A didactic illustration of writing skill growth through a longitudinal diagnostic classification model

Frontiers in Psychology
IntroductionDiagnostic classification models (DCMs) have received increasing attention in cross-sectional studies. However, L2 learning studies, tracking skill development over time, require models suited for longitudinal analyses.
Hamdollah Ravand, Farshad Effatpanah, Olga Kunina-Habenicht, Matthew J. Madison   +3 more
doaj   +1 more source

Inter-observer reliability of alternative diagnostic methods for proximal humerus fractures: a comparison between attending surgeons and orthopedic residents in training

Patient Safety in Surgery, 2019
Background Proximal humerus fractures are frequent, and several studies show low diagnostic agreement among the observers, as well as an inaccurate classification of these lesions.
Luiz Fernando Cocco, João Alberto Yazzigi, Eduardo Felipe Kin Ito Kawakami, Helio Jorge Fernandes Alvachian, Fernando Baldy dos Reis, Marcus Vinicius Malheiro Luzo   +5 more
doaj   +1 more source

Development and multi-center validation of machine learning model for early detection of fungal keratitisResearch in context

EBioMedicine, 2023
Summary: Background: Fungal keratitis (FK) is a leading cause of corneal blindness in developing countries due to poor clinical recognition and laboratory identification.
Zhenyu Wei, Shigeng Wang, Zhiqun Wang, Yang Zhang, Kexin Chen, Lan Gong, Guigang Li, Qinxiang Zheng, Qin Zhang, Yan He, Qi Zhang, Di Chen, Kai Cao, Jinding Pang, Zijun Zhang, Leying Wang, Zhonghong Ou, Qingfeng Liang   +17 more
doaj   +1 more source

Variational Bayes inference for hidden Markov diagnostic classification models

British Journal of Mathematical and Statistical Psychology, 2021
Abstract Diagnostic classification models (DCMs) can be used to track the cognitive learning states of students across multiple time points or over repeated measurements. This study developed an effective variational Bayes (VB) inference method for hidden Markov longitudinal general DCMs.
Kazuhiro Yamaguchi, Alfonso J. Martinez
openaire   +3 more sources