linear models

real data

regression models

model selection

estimator

linear mixed

variance components

random forests

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mixed models

Clinical Epigenetics

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.

Statistical predictions with glmnet