A plea for taking all available clinical information into account when assessing the predictive value of omics data
Abstract Background Omics data can be very informative in survival analysis and may improve the prognostic ability of classical models based on clinical risk factors for various diseases, for example breast cancer.Recent research has focused on integrating omics and clinical data, yet has often ignored the need for appropriate model building for cl