Descriptor English: | Latent Class Analysis | ||||||
Descriptor Spanish: |
Análisis de Clases Latentes
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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 |
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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 |
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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. |
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Allowable Qualifiers: | No qualifiers | ||||||
Previous Indexing: |
Statistics as Topic (2017-2018) |
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Public MeSH Note: | 2019 |
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History Note: | 2019 |
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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 |
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ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT
Investigative Techniques [E05]Investigative Techniques -
PHENOMENA AND PROCESSES
Mathematical Concepts [G17]Mathematical Concepts -
INFORMATION SCIENCE
Information Science [L01]Information Science
|
Latent Class Analysis
- Preferred
Structural Equation Modeling
- Broader
Probabilistic Latent Semantic Analysis
- Narrower
Latent Class Model
- Related but not broader or narrower
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 |
Concept UI |
M000640246 |
Preferred term | Structural Equation Modeling |
Entry term(s) |
Modeling, Structural Equation Structural Equation Modelings |
Concept UI |
M000640244 |
Preferred term | Probabilistic Latent Semantic Analysis |
Concept UI |
M000640245 |
Preferred term | Latent Class Model |
Entry term(s) |
Latent Class Models Model, Latent Class |
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