Tuning parameter calibration for personalized prediction in medicine
Tuning parameter calibration for personalized prediction in medicine
Personalized prediction is of high interest in medicine; potential applications include the prediction of individual drug responses or risks of complications. But typical statistical pipelines such as ridge estimation combined with cross-validation ignore the heterogeneity among the patients and, therefore, are not suited for personalized prediction. We, therefore, introduce an …