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Descriptor English: Latent Class Analysis
Descriptor Spanish: Análisis de Clases Latentes
Descriptor análisis de clases latentes
Entry term(s) análisis probabilístico de semántica latente
análisis semántico latente probabilístico
modelizaciones con ecuaciones estructurales
modelizaciones con variables latentes
modelización con ecuaciones estructurales
modelización con variables latentes
modelo de clases latentes
modelos de clases latentes
Scope note: Algoritmo estadístico utilizado para analizar grupos de variables observadas mediante la construcción de un segmento categórico no observado o latente basado en un análisis ponderado y en las probabilidades medias. Estas clases latentes se usan para inferir variables cuyas relaciones no se observan directamente. En investigación biomédica se usa a menudo para la categorización de datos que permite la determinación de grupos de síntomas.
Descriptor Portuguese: Análise de Classes Latentes
Descriptor French: Analyse de structure latente
Entry term(s): Latent Class Analyses
Latent Class Model
Latent Class Models
Latent Variable Modeling
Latent Variable Modelings
Model, Latent Class
Modeling, Latent Variable
Modeling, Structural Equation
Probabilistic Latent Semantic Analysis
Structural Equation Modeling
Structural Equation Modelings
Variable Modeling, Latent
Tree number(s): E05.318.740.250.338
G17.035.625
L01.224.050.687
N05.715.360.750.200.375
N06.850.520.830.250.338
RDF Unique Identifier: https://id.nlm.nih.gov/mesh/D000077272
Scope note: A statistical algorithm used to analyze clusters of observed variables by constructing categorical unobserved or latent segment based on weighted analysis and the average probabilities. Such latent classes are used to infer variables whose relationships are not directly observed. In biomedical research, it is often used to categorize data that allows the determination of symptom clusters.
Allowable Qualifiers: No qualifiers
Previous Indexing: Statistics as Topic (2017-2018)
Public MeSH Note: 2019
History Note: 2019
DeCS ID: 57575
Unique ID: D000077272
Documents indexed in the Virtual Health Library (VHL): Click here to access the VHL documents
Date Established: 2019/01/01
Date of Entry: 2018/07/09
Revision Date: 2018/02/28
Latent Class Analysis - Preferred
Concept UI M000640239
Scope note A statistical algorithm used to analyze clusters of observed variables by constructing categorical unobserved or latent segment based on weighted analysis and the average probabilities. Such latent classes are used to infer variables whose relationships are not directly observed. In biomedical research, it is often used to categorize data that allows the determination of symptom clusters.
Preferred term Latent Class Analysis
Entry term(s) Latent Class Analyses
Latent Variable Modeling
Latent Variable Modelings
Modeling, Latent Variable
Variable Modeling, Latent
Structural Equation Modeling - Broader
Concept UI M000640246
Preferred term Structural Equation Modeling
Entry term(s) Modeling, Structural Equation
Structural Equation Modelings
Probabilistic Latent Semantic Analysis - Narrower
Concept UI M000640244
Preferred term Probabilistic Latent Semantic Analysis
Latent Class Model - Related but not broader or narrower
Concept UI M000640245
Preferred term Latent Class Model
Entry term(s) Latent Class Models
Model, Latent Class



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