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Nonstandard conditionally specified models for nonignorable missing data
Data analyses typically rely upon assumptions about the missingness mechanisms that lead to observed versus missing data, assumptions that are typically unassessable. We explore an approach where the joint distribution of observed data and missing data are specified in a nonstandard way. In this for...
שמור ב:
| הוצא לאור ב: | Proc Natl Acad Sci U S A |
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| Main Authors: | , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
National Academy of Sciences
2020
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7430986/ https://ncbi.nlm.nih.gov/pubmed/32723822 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1815563117 |
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