Results 61 to 70 of about 475,024 (262)
Modeling homophily and stochastic equivalence in symmetric relational data [PDF]
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
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
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
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
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
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]
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
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
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]
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

