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Paramedic attitudinal profiles regarding pediatric pain management: A latent class analysis in a standardized emergency medical services system. [PDF]
Turk J Emerg MedGüler LM +5 more
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Biometrics, 2000
Summary. In many areas of medical research, such as psychiatry and gerontology, latent class variables are used to classify individuals into disease categories, often with the intention of hierarchical modeling.
Garrett, Elizabeth S., Zeger, Scott L.
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Summary. In many areas of medical research, such as psychiatry and gerontology, latent class variables are used to classify individuals into disease categories, often with the intention of hierarchical modeling.
Garrett, Elizabeth S., Zeger, Scott L.
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Latent Class Analysis and Model Selection
2006This paper discusses model selection for latent class (LC) models. A large experimental design is set that allows the comparison of the performance of different information criteria for these models, some compared for the first time. Furthermore, the level of separation of latent classes is controlled using a new procedure.
José G. Dias
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Advances in Data Analysis and Classification, 2013
The paper proposes a latent class version of Combination of Uniform and (shifted) Binomial random variables ( CUB ) models for ordinal data to account for unobserved heterogeneity. The extension, called LC-CUB , is useful when the heterogeneity is originated by clusters of respondents not identified by covariates: this may generate a multimodal ...
Leonardo Grilli +3 more
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The paper proposes a latent class version of Combination of Uniform and (shifted) Binomial random variables ( CUB ) models for ordinal data to account for unobserved heterogeneity. The extension, called LC-CUB , is useful when the heterogeneity is originated by clusters of respondents not identified by covariates: this may generate a multimodal ...
Leonardo Grilli +3 more
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A bootstrap for latent class model models for determining the appropriate number of latent classes
, 1999 A bootstrap for latent class model models for determining the appropriate number of latent ...
Winsberg, Suzanne, de Soete, Geert
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Dirichlet Generalizations of Latent-Class Models
Journal of Classification, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Richard F. Potthoff +2 more
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2010
A statistical model can be called a latent class (LC) or mixture model if it assumes that some of its parameters differ across unobserved subgroups, LCs, or mixture components. This rather general idea has several seemingly unrelated applications, the most important of which are clustering, scaling, density estimation, and random-effects modeling. This
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A statistical model can be called a latent class (LC) or mixture model if it assumes that some of its parameters differ across unobserved subgroups, LCs, or mixture components. This rather general idea has several seemingly unrelated applications, the most important of which are clustering, scaling, density estimation, and random-effects modeling. This
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Bootstrapping Latent Class Models
2005This paper deals with improved measures of statistical accuracy for parameter estimates of latent class models. It introduces more precise confidence intervals for the parameters of this model, based on parametric and nonparametric bootstrap. Moreover, the label-switching problem is discussed and a solution to handle it introduced.
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