Epidemiological methods in medical research (mixed online and in person format)

Graduate School of Health and Medical Sciences at University of Copenhagen

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
The purpose of the course is to provide an introduction to modern methods in epidemiology as used in medical research and based on biostatistics. On conclusion of the course the participants should be able to read and understand modern epidemiological methods and design and analyse standard studies.

The course covers several study designs (cohort studies, case-control studies), statistical regression model (logistic, Poisson, Cox), and methods to dealing with confounding (stratification, adjustment, standardization, weighting, matching) commonly used in epidemiology. Concepts and the use of statistical models are illustrated using examples drawn from medical research.

Lecture notes and supplementary SAS- and R-demos will be available from the course webpage.

D. Clayton & C. Hills. Statistical Models in Epidemiology. Oxford University Press.
M. Szklo & F.J. Nieto. Epidemiology: Beyond the Basics. Jones & Bartlett (3rd. ed.) Leaming.

Ph.D. students and others interested in epidemiologic research in medicine. Having completed the course in Basic Statistics is advantageous. Max. 25 participants

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:

Biostatistics and Bioinformatics
Cardiovascular Research
Clinical Research

Danish or English.

The course contains a mixture of lectures, exercise classes (including computer practicals), and discussion of a scientific article. You are supposed to bring your own laptop with the statistical software you wish to use installed.

Statistical Software
The recommended software for the course are:

-the R software (version 4.0.0 and above) which is freely available at https://www.r-project.org/. We also recommend the use of an IDE such as R-studio, freely available at https://www.rstudio.com/, to have a nice user-interface for working with R. Students not familiar with the R software should consider following, a few weeks before the course starts, the e-course (http://r.sund.ku.dk/) for medical PhD students developed by Susanne Rosthøj from the Section of Biostatistics or read the tutorial “Impatient R” (http://www.burns-stat.com/documents/tutorials/impatient-r/).
-or the SAS software.
Participants who wish to use other software are free to do so. They are however expected to be autonomous, as the teachers may not be able to answer technical questions (e.g. about coding) for software other than R/SAS.

Course director
Brice Ozenne, Associate Professor at the Section of Biostatistics;
Contact: broz@sund.ku.dk

Per Kragh Andersen, Professor at the Section of Biostatistics, University of Copenhagen, pka@biostat.ku.dk

Anne-Marie Nybo Andersen, Professor at the Section of Epidemiology, University of Copenhagen.
Bendix Carstensen, Senior Statistician at the Steno Diabetes Center.
Brice Ozenne, Associate Professor at the Section of Biostatistics, University of Copenhagen.
Katrine Strandberg-Larsen, Lecturer at the Section of Epidemiology, University of Copenhagen.
Per Kragh Andersen, Professor at the Section of Biostatistics, University of Copenhagen.
Possibly other members of the staff of Department of Public Health.

Thursdays 14, 21, 28 January, 4, 11, 25 February, 4, 11, 18, 25 March 2021 (all days 10-17).

Course location

Please register before 14 December 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.