Model Selection Information Criteria in Latent Class Models with Missing Data and Contingency Question

DOI10.1080/03610918.2013.777454zbMath1314.62135OpenAlexW2130458453MaRDI QIDQ5252829

Ting Hsiang Lin

Publication date: 3 June 2015

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.777454

zbMATH Keywords

model selectioninformation criterianonresponselatent class analysiscontingency question

Mathematics Subject Classification ID

Contingency tables (62H17) Statistical aspects of information-theoretic topics (62B10)

Cites Work

• Unnamed Item
• Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
• Estimating the dimension of a model
• Evaluating latent class analysis models in qualitative phenotype identification
• A comparison of model selection indices for nested latent class models
• Regression and time series model selection in small samples
• Latent Class Model Diagnosis
• Exploratory latent structure analysis using both identifiable and unidentifiable models

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