Cross‐validated Cox regression on microarray gene expression data
Cross‐validated Cox regression on microarray gene expression data
This paper describes how penalized Cox regression, in combination with cross-validated partial likelihood can be employed to obtain reliable survival prediction models for high dimensional microarray data. The suggested procedure is demonstrated on a breast cancer survival data set consisting of 295 tumours as collected in the National Cancer Institute …