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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Autores principales: Faisal Maqbool Zahid, Shahla Faisal, Christian Heumann
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/cc55db66f7de4a9db934f51c1ba44619
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