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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...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
Main Authors: Daniels, M.J., Wang, C., Marcus, B.H.
פורמט: Artigo
שפה:Inglês
יצא לאור: 2013
נושאים:
גישה מקוונת: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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