Results 11 to 20 of about 1,514,883 (344)
Incorporating Marginal Prior Information in Latent Class Models
. We present an approach to incorporating informative prior beliefs about marginal probabilities into Bayesian latent class models for categorical data.
Tracy A. Schifeling, Jerome P. Reiter
semanticscholar +2 more sources
Latent class models for Echinococcus multilocularis diagnosis in foxes in Switzerland in the absence of a gold standard [PDF]
Background In Europe the principal definitive host for Echinococcus multilocularis, causing alveolar echinococcosis in humans, is the red fox (Vulpes vulpes). Obtaining reliable estimates of the prevalence of E.
Belen Otero-Abad +4 more
doaj +2 more sources
The use of bayesian latent class cluster models to classify patterns of cognitive performance in healthy ageing. [PDF]
The main focus of this study is to illustrate the applicability of latent class analysis in the assessment of cognitive performance profiles during ageing.
Patrício Soares Costa +4 more
doaj +2 more sources
Recommendations on the Sample Sizes for Multilevel Latent Class Models. [PDF]
Park J, Yu HT.
europepmc +2 more sources
Estimating Multiple Classification Latent Class Models [PDF]
This paper presents a new class of models for persons-by-items data. The essential new feature of this class is the representation of the persons: every person is represented by its membership to multiple latent classes, each of which belongs to one latent classification.
Eric Maris
openaire +4 more sources
Evaluation of diagnostic test procedures for SARS-CoV-2 using latent class models. [PDF]
Staerk-Østergaard J +6 more
europepmc +3 more sources
Background Research examining the role of obesity in cardiovascular disease (CVD) often fails to adequately consider heterogeneity in obesity severity, distribution, and duration.
Laura M. Raffield +13 more
doaj +1 more source
Digital Competence Analysis of University Students Using Latent Classes
The objective of this study is to characterize Latent Classes emerging from the analysis of the level of digital competences, use and consumption of applications and/or services through the Internet.
Carmen Gloria Burgos-Videla +3 more
doaj +1 more source
We propose a method to estimate mode choice models, where preference parameters are sensitive to the spatial context of the trip origin, challenging traditional assumptions of spatial homogeneity in the relationship between travel modes and the built ...
Jaime Pablo Orrego-Oñate +2 more
doaj +3 more sources
Latent Class Models (LCMs) are used to cluster multivariate categorical data (e.g. group participants based on survey responses). Traditional LCMs assume a property called conditional independence. This assumption can be restrictive, leading to model misspecification and overparameterization.
Bowers, Jesse, Culpepper, Steve
openaire +3 more sources

