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This course will provide students with broad exposure to the elements of machine learning and its practical applications within epidemiologic research and practice. The course will combine didactic lectures with group discussions and programming exercises to ensure a balance of substantive knowledge and practical skills. Through this approach, students will learn to apply critical thinking […]
To provide students with an overview on how to take a research idea through to implementing, analyzing, and interpreting an epidemiologic study using the Danish Clinical Cancer Databases, and Denmark’s network of medical and population-based registries. Each concept will be introduced in a lecture. Through a combination of exercises and computer labs, students will be […]
To achieve knowledge on data documentation, basic statistical tests and the assumptions for performing these tests. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
The course provides the students with basic skills using the most common, simple statistical models and analyzes in medical research Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.