Latent Class Analysis
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.
Year introduced: 2019
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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
MeSH Unique ID: D000077272
Entry Terms:
- Latent Class Analyses
- Latent Variable Modeling
- Latent Variable Modelings
- Modeling, Latent Variable
- Variable Modeling, Latent
- Probabilistic Latent Semantic Analysis
- Latent Class Model
- Latent Class Models
- Model, Latent Class
- Structural Equation Modeling
- Modeling, Structural Equation
- Structural Equation Modelings
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