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Statistical Theory of Science

The course gives you knowledge about epistemological views on empirically based knowledge and statistical problem solving and modelling from an applied point of view. A pervading theme in the course is the role models play in empirical science.

The course takes as a starting point some basic epistemological views on knowledge, for example, how scientific knowledge is generated and how it changes. Different classic epistemological approaches are related to different statistical methods (e.g. hypothesis testing, Bayesian statistics, likelihood models) in order to highlight the relationship between philosophical questions about science, statistical inference and proofs/results. The course also treats ethical aspects.
The course gives you a deeper understanding of experimental and non-experimental research methods. In this course you will learn how to give an account important epistemological viewpoints and their relationship to statistical methods, and discuss the advantages and disadvantages of experimental and non-experimental methods in specific situations, especially with respect to validity, causal conclusions, control of sources of error and handling of confounders.

 
  • Course structure

    The course is given at day time, full time.

    The course forms a part of the Master's Program in Statistics, but it can also be studied as a freestanding course.

    Teaching format

    The teaching consists of lectures and exercises.

    Assessment

    Examination will be in the form of oral and written presentations.

    Examiner

    If you have questions about studying at the Department of Statistics, please contact our study- and career counselor.

  • Course literature

    Note that the course literature can be changed up to two months before the start of the course.
  • Contact

    If you have questions about studying at the Department of Statistics, please contact our study- and career counselor.