Survival Analysis in Clinical Studies

Survival analysis is a specialized statistical method used in clinical studies to analyze time-to-event data, such as patient survival times or disease progression. This topic explores the principles of survival analysis, including Kaplan–Meier curves, log-rank tests, hazard ratios, and Cox proportional hazards models. Medical researchers and healthcare professionals rely on survival analysis to assess treatment outcomes, predict patient prognosis, and evaluate the effectiveness of interventions in clinical settings. Understanding the intricacies of survival analysis is essential for drawing reliable conclusions from longitudinal data in medical research.