Innovative Approaches to Teaching Survival Analysis for Learners of All Levels

Survival analysis is a statistical method used to analyze time-to-event data, with applications across diverse fields such as medicine, engineering, economics, and social sciences. However, teaching survival analysis effectively can be challenging due to its unique concepts (e.g., censoring, hazard functions) and the mathematical and computational skills required. This series of talks is designed to equip educators, trainers, and professionals with the tools, strategies, and insights needed to teach survival analysis effectively. The series will focus on pedagogical approaches, practical examples, and the use of software tools to make survival analysis accessible and engaging for learners. The target audience includes statisticians who regularly teach survival analysis. This teaching might take the form of a full graduate-level course for statistics students, instruction tailored to medical students or PhD candidates in non-statistical fields, or training for postdoctoral researchers, early-career physicians, or non-physician researchers.