Graduate School of health and Medical Sciences

Causal Inference, Part I: Marginal structural models, IPW and time-varying confounding
Provider: Faculty of Health and Medical Sciences

Activity no.: 3326-20-00-00	There are no available seats
	Enrollment deadline: 03/04/2020

Date and time	18.05.2020, at: 08:00 - 29.05.2020, at: 15:00
Regular seats	25
Course fee	4,080.00 kr.
Lecturers	Torben Martinussen
ECTS credits	4.50

Contact person	Susanne Kragskov Laupstad E-mail address: skl@sund.ku.dk

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

Aim and content This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until enrollment deadline. After the enrolment deadline, available seats will be allocated to the waiting list. The course is free of charge for PhD students at Danish universities (except Copenhagen Business School). All other participants must pay the course fee. Learning objectives A student who has met the objectives of the course will be able to: •Identify causal questions and demonstrate a critical understanding of the assumptions underlying causal conclusions in epidemiology •Understand the basic notation and models used in the causal inference literature including the counterfactual framework. •Perform causal inference methods in practice using R. •Analyse empirical data using marginal structural models, G-formula, and inverse probability weighting (IPW). •Understand when time-varying confounding techniques are need and to carry out the analysis in practice. •To apply G-estimation. •Understand when an Instrumental Variables (IV) analysis is appropriate and which assumptions such an analysis relies on. Content Much of the analysis of data in health and social sciences has as its central aim the quest to learn about cause-effect relationships. Does this treatment work? How harmful is the exposure? These are causal questions. Randomised studies can answer such questions. But sometimes we cannot do the randomization, or we have data from an observational study. Therefore causal inference methods are needed. Such methods have recently been developed, primarily by Jamie Robins and co-workers, and this course is based on the forthcoming book by Hernan and Robins on Causal Inference. We introduce counter factuals in order to define what we mean by a causal effect, and give conditions that allow us to estimate such effects. Two primary tools are used, G-formula and inverse probability weighting. We will also touch upon instrumental variables methods, that has become popular using Mendelian Randomization, and propensity score methods. Finally, we end by describing time-dependent confounding and introduce methods to deal with this problem. Note: There will be computer exercises to give the participants practical skills in doing causal inference. We will use R, so participants should bring a laptop with R installed on it. Furthermore, participants need to complete an online pre-course in R. The pre-course consists of 5 modules. Participants The course is aimed at PhD students in public health and Epidemiology. There will be a maximum of 25 students. Participants should bring a laptop with R installed, and participants need to complete an online pre-course in R. Details will be given. 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: All graduate programmes Language English. Form The course will include a combination of lectures, group work, computer exercises, discussions, and individual exercises. Course director Torben Martinussen, Professor, Section of Biostatistics, Department of Public Health, University of Copenhagen Teachers Per Kragh Andersen, Professor, Section of Biostatistics, Department of Public Health, University of Copenhagen Torben Martinussen, Professor, Section of Biostatistics, Department of Public Health, University of Copenhagen Dates May 18th to May 20th, and 28th to May 29th 2020. Course location Center for Sundhed og Samfund (CSS) Registration Please register before April 3rd 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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