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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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| Publicado no: | Am J Epidemiol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6825836/ https://ncbi.nlm.nih.gov/pubmed/31504104 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwz186 |
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