Survival Analysis for Time to Event-Based Outcome

Survival analysis is a statistical approach to analyze the time until an event occurs, such as death, relapse, or hospitalization. This chapter introduces survival analysis techniques, focusing on the Kaplan-Meier method, Cox proportional hazards model, and survival curve comparisons through the log-rank test. This chapter provides practical guidance on performing survival analysis, highlighting its importance in clinical research for evaluating time-to-event outcomes using packages survival, splines2, dplyr, ggfortify, survminer.