Survival Analysis and Cox Regression Model

Abstract

Through this research, we discussed the Survival analysis, and knowing the variables affecting the survival function, we reviewed the Kaplan-Meier method to find out the differences between the two groups of treatment for prostate cancer patients.The sample taken was 38, The survival probability of the patients was estimated according to the type of treatment, and significant differences were found between them. And, then, we took other data to predict the regression line equation for the survival time through the Cox regression method, data were processed and results were extracted by the SPSS program. A sample of size 30 was taken and the regression line equation was estimated with the presence of two variables, They are the method of treatment and marital status (married - unmarried), and the extent of their influence on the equation was concluded.