Biostatistics and Medical Informatics Department Seminar with Gang Li of the University of California Los Angeles

Dr. Li will discuss how conventional performance metrics for time-to-event data may yield undesirable results when comparing prediction models or algorithms. He will introduce a novel time-dependent pseudo R-squared measure and demonstrate its utility as a prediction performance metric for uncensored and right-censored time-to-event data. Finally, Dr. Li will discuss the risks of extending this model to competing risk scenarios and popular epidemiologic designs.