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Multiple imputation with compatibility for high-dimensional data
Multiple Imputation (MI) is always challenging in high dimensional settings. The imputation model with some selected number of predictors can be incompatible with the analysis model leading to inconsistent and biased estimates. Although compatibility in such cases may not be achieved, but one can ob...
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| I publikationen: | PLoS One |
|---|---|
| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Public Library of Science
2021
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8266107/ https://ncbi.nlm.nih.gov/pubmed/34237092 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0254112 |
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