The Cox Proportional Hazards Model is a statistical technique used in survival analysis to explore the relationship between the survival time of subjects and one or more predictor variables. It helps researchers understand how different factors influence the risk of an event occurring, such as death or failure, over time. This model assumes that the effect of the predictor variables on the hazard rate is constant over time, meaning that the ratio of hazards for different groups remains proportional. It is widely used in medical research, epidemiology, and other fields to analyze time-to-event data while accounting for censored observations.