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

Internet

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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