Prerequisites: BIOSTAT 560 or permission from the instructor
Description: This course will introduce 1) the concepts of multistage carcinogenesis and the analysis of cancer epidemiology using mathematical models of carcinogenesis; 2) the analysis of cancer prevention strategies using Markov cancer natural history models. Students will learn how to develop and fit multistage and cancer natural history models in R.
EPID637: Systems Modeling of Behavior, Social Processes and Chronic Disease
Description: This advanced course provides in-depth coverage of applications of mathematical modeling to behavior, social processes, and chronic disease. We will review applications of agent-based and network modeling in social and behavioral science, and natural history models of chronic diseases. Students will learn to develop models in R, NetLogo, and NetworkX.