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Latent class based multiple imputation approach for missing categorical data
In this paper we propose a latent class based multiple imputation approach for analyzing missing categorical covariate data in a highly stratified data model. In this approach, we impute the missing data assuming a latent class imputation model and we use likelihood methods to analyze the imputed da...
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| Publicado no: | J Stat Plan Inference |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6290917/ https://ncbi.nlm.nih.gov/pubmed/30555206 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jspi.2010.04.020 |
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