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Latent Class Analysis of Incomplete Data via an Entropy-Based Criterion
Latent class analysis is used to group categorical data into classes via a probability model. Model selection criteria then judge how well the model fits the data. When addressing incomplete data, the current methodology restricts the imputation to a single, pre-specified number of classes. We seek...
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| Publicado no: | Stat Methodol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5042216/ https://ncbi.nlm.nih.gov/pubmed/27695391 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.stamet.2016.04.004 |
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