Variable Selection in Predictive Modeling for Precision and Stratified Medicine

Interest in personalized medicine has increased efforts to understand individual differences in treatment response, which rely heavily on feature selection. Existing strategies for variable selection are reviewed, and leading candidates are compared using several large RCTs. Conclusions are drawn and a new approach for variable selection is proposed.