EPI 200 C, Methods III: Analysis
This 6-unit course is designed to provide the student with causal inference and quantitative analysis tools for analyzing data. It covers theoretical concepts and provides practical tools to students to guide them in their statistical analysis. This course covers topics such as probability, standardization, causal diagrams, statistical inference, data analysis and presentation, regression modeling, marginal structural models and causal survival analysis, It is the third part of a three-course sequence for MS and PhD students in epidemiology. It builds on the foundations acquired in EPI 200 A and EPI 200 B which are designed to introduce students to concepts, principles and methods for epidemiologic research. Level: Intermediate
EPI 205: Methods for Analyzing Non-Randomized and Quasi-Experimental Studies
This 4-unit course is designed to provide students with the necessary tools to evaluate the effectiveness or impact of a large-scale public health intervention. Study designs include non-randomized, quasi-experiments, and natural experiments. The course covers both theoretical concepts as well as practical tools that encompass methods borrowed from related fields including social epidemiology, health policy, econometrics and evaluation research. These methods include instrumental variable, difference-in-difference, synthetic control, regression discontinuity and propensity score matching. This course is primarily offered for Epidemiology students but is also open to students in other fields such as Health Policy and Management, Community Health Sciences and Biostatistics and Statistics. Level: Intermediate to advanced
EPI 206: Systems Science Modeling and Simulation in Epidemiology
This 4-unit course is designed to give students an introduction (theory and practice) to modeling and simulation methods for conducting comparative, cost-effectiveness, and forecasting research. These methods include population-level (e.g. Markov state-transition models and system dynamics) and individual-level (e.g. microsimulation and agent-based modeling) simulations. This course is primarily offered for Epidemiology students but is also opened to students in other departments such as Health Policy and Management, Community Health Sciences and Statistics. Level: advanced