Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Watch a 24-minute Fields Institute lecture exploring the intersection of mathematical oncology and Bayesian inference, focusing on parameter identifiability and censored data analysis in tumor growth models. Learn from Toronto Metropolitan University's Kathleen Wilkie as she delves into practical applications of mathematical modeling in cancer research, presented as part of the Mathematical Oncology program examining computational fluids, mechanics, and biology in cancer studies. Gain insights into advanced statistical methods for handling complex biological data and their implementation in tumor growth prediction models.