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A Semiparametric Bayesian Approach to Dropout in Longitudinal Studies with Auxiliary Covariates
We develop a semiparametric Bayesian approach to missing outcome data in longitudinal studies in the presence of auxiliary covariates. We consider a joint model for the full data response, missingness and auxiliary covariates. We include auxiliary covariates to “move” the missingness “closer” to mis...
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| 出版年: | J Comput Graph Stat |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7531618/ https://ncbi.nlm.nih.gov/pubmed/33013150 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2019.1617159 |
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