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Bayesian Sensitivity Analysis of Statistical Models with Missing Data
Methods for handling missing data depend strongly on the mechanism that generated the missing values, such as missing completely at random (MCAR) or missing at random (MAR), as well as other distributional and modeling assumptions at various stages. It is well known that the resulting estimates and...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2014
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3991016/ https://ncbi.nlm.nih.gov/pubmed/24753718 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5705/ss.2012.126 |
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