Introduction to applied statistics and R for PhD students

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The course has two parts. First there will be a week of class room teaching with lectures and exercises. This will be followed by a two week period where a project is completed under supervision, preferably based on the participants' own data. During the project period there will be group sessions with a supervisor. Before the start of the main course one day will be given with an introduction to the statistical program R.

A student who has met the objectives of the course will be able to:
Perform descriptive analyses, including descriptive plots, to describe data.
Generate a statistical hypothesis based on a practical problem.
Differentiate between the choice of different statistical methods.
Formulate and apply common statistical regression models.
Perform statistical model check.
Perform estimation and hypothesis test in commonly used statistical models.
Interpret the results from commonly used statistical models and relate the results to the practical application.
Perform simple statistical analyses using R.
Interpret output from analyses using R.
Critical assessment of results from statistical analyses.
Document and present results in a written report to persons without a statistical background.
Plan, perform and present a simple statistical analysis.
Period5 Jan 202426 Jan 2024
Event typeCourse
LocationCopenhagen, DenmarkShow on map