Penalised Cox regression models for survival data

Abstract

In recent years, the advances in genetic technology have enabled the collection of large amount of genetic information; as a result, analysis tools for microarray data have been in high demand. Among all types of data, survival outcome is particularly of more interest to study. Such data has become very typical in biomedical research or genetic lab. However, typical statistical models do not work for such scenarios; in this paper, several Cox model-based penalised regression approaches will be evaluated.