期刊
CLINICAL EPIGENETICS
卷 11, 期 1, 页码 -出版社
BMC
DOI: 10.1186/s13148-019-0730-1
关键词
Elastic net; glmnet package; Statistical prediction; Ultra-high dimensional regression
资金
- Norwegian Institute of Public Health
Elastic net type regression methods have become very popular for prediction of certain outcomes in epigenome-wide association studies (EWAS). The methods considered accept biased coefficient estimates in return for lower variance thus obtaining improved prediction accuracy. We provide guidelines on how to obtain parsimonious models with low mean squared error and include easy to follow walk-through examples for each step in R.
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