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A note on the relationships between multiple imputation, maximum likelihood and fully Bayesian methods for missing responses in linear regression models
Multiple Imputation, Maximum Likelihood and Fully Bayesian methods are the three most commonly used model-based approaches in missing data problems. Although it is easy to show that when the responses are missing at random (MAR), the complete case analysis is unbiased and efficient, the aforemention...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4190159/ https://ncbi.nlm.nih.gov/pubmed/25309677 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4310/SII.2013.v6.n3.a2 |
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