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Latent Class Analysis MeSH Descriptor Data 2023


MeSH Heading
Latent Class Analysis
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
Unique ID
D000077272
RDF Unique Identifier
http://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.
Entry Term(s)
Latent Class Model
Latent Variable Modeling
Probabilistic Latent Semantic Analysis
Structural Equation Modeling
Previous Indexing
Statistics as Topic (2017-2018)
Public MeSH Note
2019
History Note
2019
Date Established
2019/01/01
Date of Entry
2018/07/09
Revision Date
2018/02/28

No Qualifiers
Latent Class Analysis Preferred
Structural Equation Modeling Broader
Probabilistic Latent Semantic Analysis Narrower
Latent Class Model Related
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