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Fully Bayesian inference under ignorable missingness in the presence of auxiliary covariates
In order to make a missing at random (MAR) or ignorability assumption realistic, auxiliary covariates are often required. However, the auxiliary covariates are not desired in the model for inference. Typical multiple imputation approaches do not assume that the imputation model marginalizes to the i...
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| Main Authors: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2013
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4007313/ https://ncbi.nlm.nih.gov/pubmed/24571539 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12121 |
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