What are Common Methods for Analyzing Survival Data?
Several methods are commonly used for analyzing survival data in Epidemiology:
1. Kaplan-Meier Estimator: A non-parametric statistic used to estimate the survival function from lifetime data. It is useful for comparing survival curves between different groups. 2. Cox Proportional Hazards Model: A semi-parametric model that assesses the effect of several variables on the survival time. It is widely used due to its flexibility and ability to handle censoring. 3. Parametric Models: These models, such as the Weibull and Exponential models, assume a specific distribution for the survival times. They can provide more precise estimates when the distributional assumptions are met.
