Cox Regression

Cox regression is a statistical method used to analyze the time it takes for an event to happen, such as recovery or failure, while considering factors that might influence this timing. It helps identify which variables—like age, treatment, or lifestyle—affect the likelihood or speed of an event occurring, without requiring assumptions about the exact rate at which it happens. Essentially, Cox regression compares different groups' chances of experiencing the event over time, adjusting for multiple factors simultaneously, and is widely used in medical research to understand risk factors and survival patterns.