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Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors
BACKGROUND: Multiple imputation by chained equations (MICE) requires specifying a suitable conditional imputation model for each incomplete variable and then iteratively imputes the missing values. In the presence of missing not at random (MNAR) outcomes, valid statistical inference often requires j...
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| Publicat a: | BMC Med Res Methodol |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6119269/ https://ncbi.nlm.nih.gov/pubmed/30170561 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-018-0547-1 |
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