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A Nuisance-Free Inference Procedure Accounting for the Unknown Missingness with Application to Electronic Health Records
We study how to conduct statistical inference in a regression model where the outcome variable is prone to missing values and the missingness mechanism is unknown. The model we consider might be a traditional setting or a modern high-dimensional setting where the sparsity assumption is usually impos...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597318/ https://www.ncbi.nlm.nih.gov/pubmed/33286923 http://dx.doi.org/10.3390/e22101154 |