The 1st meeting of the International Programme of Advanced Epidemiology and Statistics introduces the Causal Inference course which includes three modules: Causal inference with directed graphs, Causal mediation and interaction analysis, and Methods to deal with attrition and missing data.

The goal of this course is to empower epidemiologists, biomedical scientists, public health professionals, research clinicians, social scientists, and statisticians to apply causal inference with confidence.

The course is taught in English by renowned international lecturers. The programme is held in the Llatzeret of Maó within the Public Health School of Menorca. Participants will enjoy an intense learning experience in a unique historical environment. The Llatzeret is a small island at the port of Maó wherein all boats entering Spain during the 19th century had to stop for quarantine to get a certificate of being free of infection diseases.

The programme is aimed at applied researchers with an interest in causal inference from observational data, in particular for epidemiologists, biomedical scientists, public health professionals, research clinicians, social scientists, and statisticians. Participants should have a good working knowledge of applied regression analysis and an intermediate knowledge level of epidemiology.

Participants will receive a bound manual containing detailed lecture notes, reading materials, and many other useful features. In the first module, which aims to strengthen your ability to think through causal problems, we will work through numerous pencil-and-paper exercises. In the second and third module participants need to bring their laptop computers to participate in the software-based exercises.

Published in GI-Mail 08/2017 (English edition). Sign up for GI-Mail here.  

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