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
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On the robustness of latent class models for diagnostic testing with no gold standard. [PDF]
Stat Med, 2021 It is difficult to estimate sensitivity and specificity of diagnostic tests when there is no gold standard. Latent class models have been proposed as a potential solution as they provide estimates without the need for a gold standard.
Schofield MR +5 more
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Latent class recapture models with flexible behavioural response [PDF]
Statistica, 2015 We propose a class of models for population size estimation in capture-recapture studies, allowing for flexible behavioural and time response, observed heterogeneity and unobserved heterogeneity.
Alessio Farcomeni
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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
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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
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Statistical power of likelihood ratio and Wald tests in latent class models with covariates. [PDF]
Behav Res Methods, 2017 This paper discusses power and sample-size computation for likelihood ratio and Wald testing of the significance of covariate effects in latent class models. For both tests, asymptotic distributions can be used; that is, the test statistic can be assumed
Gudicha DW, Schmittmann VD, Vermunt JK.
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Identifiability of Latent Class Models with Covariates
Psychometrika, 2022 AbstractLatent 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 69:5–32, 2004) studied ...
Jing Ouyang, Gongjun Xu
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Estimating Spatial Econometrics Models with Integrated Nested Laplace Approximation
Mathematics, 2021 The integrated nested Laplace approximation (INLA) provides a fast and effective method for marginal inference in Bayesian hierarchical models. This methodology has been implemented in the R-INLA package which permits INLA to be used from within R ...
Virgilio Gómez-Rubio +2 more
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Partially latent class models for case-control studies of childhood pneumonia aetiology. [PDF]
J R Stat Soc Ser C Appl Stat, 2016 In population studies on the aetiology of disease, one goal is the estimation of the fraction of cases that are attributable to each of several causes.
Wu Z +4 more
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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.
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