The proportional hazards assumption is a fundamental premise in survival analysis, particularly in the Cox proportional hazards model, which posits that the effect of explanatory variables on the hazard rate is multiplicative and constant over time. Violations of this assumption can lead to incorrect conclusions, necessitating diagnostic checks and potential model adjustments to ensure valid results.