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Methods for Dealing With Missing Covariate Data in Epigenome-Wide Association Studies

Multiple imputation (MI) is a well-established method for dealing with missing data. MI is computationally intensive when imputing missing covariates with high-dimensional outcome data (e.g., DNA methylation data in epigenome-wide association studies (EWAS)), because every outcome variable must be i...

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Detalles Bibliográficos
Autores principales:	Mills, Harriet L, Heron, Jon, Relton, Caroline, Suderman, Matt, Tilling, Kate
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2019
Materias:	Practice of Epidemiology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825836/ https://www.ncbi.nlm.nih.gov/pubmed/31504104 http://dx.doi.org/10.1093/aje/kwz186

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