The modern epidemiologists' toolkit must contain innovative and current methods to address the complexity of both the data and questions that we currently face. The focus of this course is to teach selected topics advanced in epidemiologic methods to address bias. Distinct from a biostatistics course, the course will focus on both design and analytic considerations and include practical applications of the methods using statistical software. In an effort to stay up‐to‐date, the specific content will be revised based on emerging techniques relevant for addressing bias in epidemiologic studies. Overall the course will cover the following domains: propensity methods, inverse probability of treatment weights, and quantitative bias analysis.