Advances in data analysis method for disease prognosis

The influence of the interaction between genetic factors and survival-related environmental factors on the prognosis of disease is high-profile in the analyses of survival data.Surv-MDR and Cox-MDR open a new way for analyzing the interactive effects of single nucleotide polymorphisms (SNPs) on survival time.Both traditional parametric model and machine learning method could be applied in the study of SNP interactions and combining the methods with survival analysis is of great significance for scientific research and clinical prognosis.