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Bayesian Multilevel Latent Class Models for the Multiple Imputation of Nested Categorical Data
With this article, we propose using a Bayesian multilevel latent class (BMLC; or mixture) model for the multiple imputation of nested categorical data. Unlike recently developed methods that can only pick up associations between pairs of variables, the multilevel mixture model we propose is flexible...
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| 發表在: | J Educ Behav Stat |
|---|---|
| Main Authors: | , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
SAGE Publications
2018
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6187066/ https://ncbi.nlm.nih.gov/pubmed/30369783 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3102/1076998618769871 |
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