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Identification and inference with nonignorable missing covariate data
We study identification of parametric and semiparametric models with missing covariate data. When covariate data are missing not at random, identification is not guaranteed even under fairly restrictive parametric assumptions, a fact that is illustrated with several examples. We propose a general ap...
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| Publicado en: | Stat Sin |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7746016/ https://ncbi.nlm.nih.gov/pubmed/33343174 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5705/ss.202016.0322 |
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