Overview of topics related to model selection for regression

Abstract

We review some strategies proposed in the literature to combine clinical and omics data in a prediction model. We show how these strategies can be performed by using two well-known statistical methods, lasso and boosting, through an application to a biomedical study with a time-to-event outcome.