Graduate School of health and Medical Sciences

Introduction to Directed Acyclic Graphs (DAGs)
Provider: Faculty of Health and Medical Sciences

Activity no.: 3229-20-00-00
	Enrollment deadline: 07/08/2020

Date and time	07.09.2020, at: 09:00 - 08.09.2020, at: 16:00
Regular seats	20
Course fee	1,440.00 kr.
Lecturers	Naja Hulvej Rod
ECTS credits	1.00

Contact person	Kathe Jensen E-mail address: kje@sund.ku.dk

Enrolment Handling/Course Organiser	PhD administration E-mail address: phdkursus@sund.ku.dk

Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD students at graduate schools in the other Nordic countries. All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will be placed on the waiting list until enrollment deadline. This also applies to PhD students from Nordic countries. After the enrollment deadline, available seats will be allocated to applicants on the waiting list. Learning objectives A student who has met the objectives of the course will be able to: 1. Identify causal questions and critically reflect on the assumptions underlying causal conclusions in epidemiology 2. Utilize the method of Directed Acyclic Graphs to discuss causal assumptions and identify confounding based on a proposed conceptual model 3. Utilize the method of Directed Acyclic Graphs to identify potential problems with selection bias and information bias in empirical examples. Content Causal inference is the ultimate goal of most epidemiological studies based on observational data. This course gives an applied introduction to Directed Acyclic Graphs [DAGs], which is a rigorous and accessible tool for understanding and solving complicated causal problems. The course will briefly introduce counterfactual thinking, which is central to modern methods for causal inference, and introduce how the method of directed acyclic graphs can help in assessing problems with confounding, selection bias and information bias in empirical work. The course will be centered on the students’ own research. Participants The course is aimed at PhD students in Public Health and Epidemiology. There will be a maximum of 20 students. Participants are expected to have basic epidemiological skills and be numerate. Relevance to graduate programmes The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH: Public Health and Epidemiology Biostatistics and Bioinformatics All graduate programmes Language English Form The course will include a combination of lectures, group work, discussions, and individual exercises. The students are expected to read the course literature on their own prior to the course. Course director Naja Hulvej Rod, Professor, Department of Public Health, University of Copenhagen, nahuro@sund.ku.dk Teachers Naja Hulvej Rod, Professor, Department of Public Health, University of Copenhagen, nahuro@sund.ku.dk Dates 7 and 8 September 2020 Course location Center for Sundhed og Samfund (CSS) Registration Please register before 7 August 2020 Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrolment. Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

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