Results 1 to 10 of about 9,468,510 (297)
Automated Bot Detection Using Bayesian Latent Class Models in Online Surveys [PDF]
Frontiers in Psychology, 2022 Behavioral scientists have become increasingly reliant on online survey platforms such as Amazon's Mechanical Turk (Mturk). These platforms have many advantages, for example it provides ease of access to difficult to sample populations, a large pool of ...
Zachary Joseph Roman +2 more
doaj +2 more sources
Latent class models for classification [PDF]
Computational Statistics and Data Analysis, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jeroen Vermunt, Jay Magidson
exaly +3 more sources
Identifiability of Latent Class Models with Covariates
Psychometrika, 2022 Abstract Latent class models with covariates are widely used for psychological, social, and educational research. Yet the fundamental identifiability issue of these models has not been fully addressed. Among the previous research on the identifiability of latent class models with covariates, Huang and Bandeen-Roche (Psychometrika 69:5–
Gongjun Xu
exaly +4 more sources
Estimating sensitivity and specificity of diagnostic tests using latent class models that account for conditional dependence between tests: a simulation study [PDF]
BMC Medical Research Methodology, 2023 Background Latent class models are increasingly used to estimate the sensitivity and specificity of diagnostic tests in the absence of a gold standard, and are commonly fitted using Bayesian methods.
Suzanne H. Keddie +3 more
doaj +2 more sources
Variable Assessment in Latent Class Models. [PDF]
Comput Stat Data Anal, 2014 The latent class model provides an important platform for jointly modeling mixed-mode data - i.e., discrete and continuous data with various parametric distributions. Multiple mixed-mode variables are used to cluster subjects into latent classes. While the mixed-mode latent class analysis is a powerful tool for statisticians, few studies are focused on
Zhang Q, Ip EH.
europepmc +5 more sources
Latent class models for Echinococcus multilocularis diagnosis in foxes in Switzerland in the absence of a gold standard [PDF]
Parasites & Vectors, 2017 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
Gaussian process latent class choice models
Transportation Research Part C: Emerging Technologies, 2022 We present a Gaussian Process - Latent Class Choice Model (GP-LCCM) to integrate a non-parametric class of probabilistic machine learning within discrete choice models (DCMs). Gaussian Processes (GPs) are kernel-based algorithms that incorporate expert knowledge by assuming priors over latent functions rather than priors over parameters, which makes ...
Filipe Rodrigues +2 more
exaly +4 more sources
Recommendations on the Sample Sizes for Multilevel Latent Class Models. [PDF]
Educ Psychol Meas, 2018 Park J, Yu HT.
europepmc +2 more sources
Bayesian Latent Class Models in malaria diagnosis. [PDF]
PLoS ONE, 2012 AIMS: The main focus of this study is to illustrate the importance of the statistical analysis in the evaluation of the accuracy of malaria diagnostic tests, without admitting a reference test, exploring a dataset (n=3317) collected in São Tomé and ...
Luzia Gonçalves +5 more
doaj +1 more source
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2021 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