Results 61 to 70 of about 475,024 (262)

Modeling homophily and stochastic equivalence in symmetric relational data [PDF]

open access: yes, 2007
This article discusses a latent variable model for inference and prediction of symmetric relational data. The model, based on the idea of the eigenvalue decomposition, represents the relationship between two nodes as the weighted inner-product of node ...
Hoff, Peter D.
core   +4 more sources

A Qualitative Analysis of Patient Perspectives and Preferences in Lupus Management to Guide Lupus Guidelines Development

open access: yesArthritis Care &Research, EarlyView.
Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg   +20 more
wiley   +1 more source

Regularized Latent Class Analysis for Polytomous Item Responses: An Application to SPM-LS Data

open access: yesJournal of Intelligence, 2020
The last series of Raven’s standard progressive matrices (SPM-LS) test was studied with respect to its psychometric properties in a series of recent papers. In this paper, the SPM-LS dataset is analyzed with regularized latent class models (RLCMs).
Alexander Robitzsch
doaj   +1 more source

Differential Item Functioning on the Patient Health Questionnaire 8 by Disease Subtype, Language, Sex, and Age Among People With Systemic Sclerosis: A Scleroderma Patient‐Centered Intervention Network Cohort Study

open access: yesArthritis Care &Research, EarlyView.
Objective Somatic items used in depression assessments can potentially overlap with symptoms related to physical illness, including systemic sclerosis (SSc). No studies have looked at whether somatic depression items may be influenced by diffuse versus limited SSc disease subtypes, which are associated with varying degrees of symptom presentation.
Sophie Hu   +110 more
wiley   +1 more source

A Bayesian mixture model captures temporal and spatial structure of voting blocs within longitudinal referendum data

open access: yesPolitical Science Research and Methods
The estimation of voting blocs is an important statistical inquiry in political science. However, the scope of these analyses is usually restricted to roll call data where individual votes are directly observed.
John O’Brien
doaj   +1 more source

Mixture Hidden Markov Models for Sequence Data: The seqHMM Package in R

open access: yesJournal of Statistical Software, 2019
Sequence analysis is being more and more widely used for the analysis of social sequences and other multivariate categorical time series data. However, it is often complex to describe, visualize, and compare large sequence data, especially when there are
Satu Helske, Jouni Helske
doaj   +1 more source

Detecting Technological Heterogeneity in New York Dairy Farms [PDF]

open access: yes
Agricultural studies have often differentiated and estimated different technologies within a sample of farms. The common approach is to use observable farm characteristics to split the sample into several groups and subsequently estimate different ...
Alvarez, Antonio   +2 more
core   +4 more sources

Data Fit Comparison of Mixture Item Response Theory Models and Traditional Models

open access: yesInternational Journal of Assessment Tools in Education, 2018
Thepurpose of this study is to determine the best IRT model [Rasch, 2PL, 3PL, 4PLand mixed IRT (2 and 3PL)] for the science and technology subtest of theTransition from Basic Education to Secondary Education (TEOG) exam, which is carriedout at national ...
Seher Yalçın
doaj   +1 more source

Trajectories of Physical Function in Canadian Children with Juvenile Idiopathic Arthritis

open access: yesArthritis Care &Research, Accepted Article.
Objectives We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham   +14 more
wiley   +1 more source

Checking Assumptions in Latent Class Regression Models via a Markov Chain Monte Carlo Estimation Approach: An Application to Depression and Socio-Economic Status [PDF]

open access: yes, 2003
Latent class regression models are useful tools for assessing associations between covariates and latent variables. However, evaluation of key model assumptions cannot be performed using methods from standard regression models due to the unobserved ...
Eaton, William W.   +4 more
core   +1 more source

Home - About - Disclaimer - Privacy