Residential 3-week Summer Course, 19 June – 7 July
The three-week course (9 ECTS) of the 2017 edition will cover the following areas. Week 1 introduces basic epidemiological concepts and study designs, and covers the fundamentals of statistical methods in epidemiology. Week 2 covers study designs in-depth, introduces the common regression models in epidemiology (logistic, Cox, Poisson) and gives students the opportunity to practice the analysis of epidemiological datasets using the Stata statistical package. Week 3 offers a choice of modules: advanced topics in statistical analysis, advanced topics in epidemiology, environmental epidemiology, clinical epidemiology, genetic epidemiology, Mendelian randomization and triangulation of causal methods, quantitative risk assessment and burden of diseases, causal mediation analysis, uncertainty and risk communication. Students indicate their choice of modules for the third week when registering for the course.
This course is a lively mixture of methodological lectures, guest lectures on special topics, and practical exercises. It provides an overview of epidemiological methods, the core concepts of epidemiological thinking, and allows students to acquire skills in the analysis of epidemiological data. Students with some basic knowledge of epidemiological and statistical methods will benefit most from the course. All students must have good working knowledge of written and spoken English.
Pre-course week (optional), 13 – 16 June, 2017
We offer two Pre-course Modules: Frontiers in causality in epidemiology: Exposome (four full days), GIS (Geographic Information Systems) in epidemiology (four full days). There is a separate registration for these modules and, typically, students who attend the pre-course modules do not attend the 3-week course on the same year, although attendance of both courses in the same year is possible.
Program EEPE Pre-courses 2017
Program EEPE Main Course 2017
More information on the content of the different modules in weeks 1, 2, and 3 are available below.