Theory and Methodology of Statistical Science
The course deals with some basic scientific theoretical approaches to knowledge formation in an empirical way as well as statistical problem solving and modeling from an applied perspective. A consistent theme in the course is the role of models in empirical science.
The course starts with some basic scientific theoretical approaches to knowledge formation, e.g. how scientific knowledge is generated and changed. Different classical theoretical approaches to science are related to different statistical methods (eg hypothesis testing, Bayesian statistics, likelihood methods), in order to shed light on the relationship between philosophical questions about science and statistical inference and evidence / results.
Furthermore, the course provides an in-depth understanding of experimental and non-experimental research methods, especially with regard to validity, causal conclusions, control of sources of error, management of confounders. The course also provides tools for independently examining scientific theoretical assumptions behind different statistical methods.
The course also discusses ethical aspects and the statistician's role and responsibility towards clients, respondents, users and the surrounding society.
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Course structure
The course is given at day time, full time.
Teaching format
The teaching consists of lectures and exercises.
Course information
Course description spring 2024 (101 Kb)
Assessment
Examination will be in the form of oral and written presentations.
Examiner
Teachers spring 2024
Course coordinators
You will find Per Gösta´s reception hours in the link above. If you want to visit Per Gösta outside of his reception hours, you are welcome to e-mail him for an appointment.
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Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Course literature
Note that the course literature can be changed up to two months before the start of the course. -
Course reports
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Contact
If you have questions about the course, please contact the cours coordinator:
Teachers spring 2024
Course coordinators
You will find Per Gösta´s reception hours in the link above. If you want to visit Per Gösta outside of his reception hours, you are welcome to e-mail him for an appointment.
If you have questions about studying at the Department of Statistics, please contact our study- and career counselor.
