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Mathematical Concepts > Algorithms > Latent Class Analysis
Information Science > Computing Methodologies > Algorithms > Latent Class Analysis
... > Health Occupations > Medicine > Public Health > Epidemiologic Methods > Statistics as Topic > Cluster Analysis > Latent Class Analysis
... > Environment and Public Health > Public Health > Epidemiologic Methods > Statistics as Topic > Cluster Analysis > Latent Class Analysis
... > Population Characteristics > Health > Public Health > Epidemiologic Methods > Statistics as Topic > Cluster Analysis > Latent Class Analysis
Investigative Techniques > Epidemiologic Methods > Statistics as Topic > Cluster Analysis > Latent Class Analysis
... > Health Care Quality, Access, and Evaluation > Quality of Health Care > Health Care Evaluation Mechanisms > Statistics as Topic > Cluster Analysis > Latent Class Analysis
... > Health Occupations > Health Services Administration > Quality of Health Care > Health Care Evaluation Mechanisms > Statistics as Topic > Cluster Analysis > Latent Class Analysis
Natural Science Disciplines > Mathematics > Statistics as Topic > Cluster Analysis > Latent Class Analysis

Preferred term

Latent Class Analysis  

Type

  • Topical Descriptor

Broader concept

Entry terms

  • Latent Variable Modeling
  • Latent Variable Modelings
  • Modeling, Latent Variable
  • Variable Modeling, Latent

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.

History note

  • 2019

In other languages

URI

http://www.yso.fi/onto/mesh/D000077272

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