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.