A robust network topology approach for survival analysis
Network topology can be used to simplify the complexity of the datasets. We are exploring its function in performing survival analysis to identify the most important factors that contributed to the survival time from diagnosis to death. This technique has the potential to illustrate easily some types of complex interactions in dataset. Then, based on those interactions, the most important factors in survival analysis are identified. However, network topology based on classical estimator is extremely sensitive to outlying observations, i.e., conclusions drawn from co