This project conducts a comprehensive survival analysis of a rats dataset to investigate factors influencing survival time. It applies both non-parametric and parametric methods, including Kaplan–Meier estimation, Cox proportional hazards models, and accelerated failure time (AFT) models. The analysis evaluates the effects of treatment and sex on survival while accounting for clustering within litters, and compares different modeling approaches to identify the most appropriate framework for describing survival patterns.