Several statistical methods are employed to handle censored data effectively:
Kaplan-Meier Estimator: This non-parametric statistic is used to estimate the survival function from lifetime data. It accounts for right-censored data by calculating the probability of survival at different time points.
Cox Proportional Hazards Model: This is a semi-parametric model that assesses the effect of several variables on survival time. It can handle right-censored data and is widely used in cancer research to identify risk factors.
Parametric Models: These models assume a specific distribution for survival times and include methods like exponential, Weibull, and log-normal models. They can be adapted to handle various types of censoring.
