Estimation of Survival Distribution Using R Software

Survival analysis is widely applied in many fields such as biology, medicine, and public health. A typical analysis of survival data involves the modeling of time-to-event data, such as the time until death. To find Survival probabilities of the given observations censored or not, use Kaplan-Meier methods of estimation. But this method gives survival probabilities at any specific time. So this method does not compare total survival experience of two survival group. The non-parametric test, log rank test takes the complete follow up period and testing the significance difference between two survival distributions. In this paper, R software is used for finding survival (remission) probabilities and testing survival (remission) distributions using log rank test for 30 Resected Melanoma Patients.