What are Common Methods Used in Survival Analysis?
Several methods are commonly used in survival analysis:
Kaplan-Meier Estimator: This non-parametric statistic is used to estimate the survival function. It is useful for comparing survival rates between different groups, such as patients receiving different interventions. Cox Proportional Hazards Model: This regression model assesses the effect of various covariates on the hazard, or risk, of the event occurring. It is particularly useful for identifying risk factors associated with patient outcomes. Log-Rank Test: This test compares the survival distributions of two or more groups. It is commonly used in clinical trials to compare the effectiveness of different treatments.
