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.
Information for admitted students spring 2025
Congratulations! You have been admitted at Stockholm University and we hope that you will enjoy your studies with us.
In order to ensure that your studies begin as smoothly as possible we have compiled a short checklist for the beginning of the semester.
Follow the instructions on whether you have to reply to your offer or not.
universityadmissions.se
Checklist for admitted students
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Activate your university account
The first step in being able to register and gain access to all the university's IT services.
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Register at your department
Registration can be done in different ways. Read the instructions from your department below.
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Read all the information on this page
Here you will find what you need to know before your course or programme starts.
IMPORTANT
Your seat may be withdrawn if you do not register according to the instructions provided by your department.
Information from your department
On this page you will shortly find information on registration, learning platform, etc.
Welcome activities
Stockholm University organises a series of welcome activities that stretch over a few weeks at the beginning of each semester. The programme is voluntary (attendance is optional) and includes Arrival Service at the airport and an Orientation Day, see more details about these events below.
Your department may also organise activities for welcoming international students. More information will be provided by your specific department.
Find your way on campus
Stockholm University's main campus is in the Frescati area, north of the city centre. While most of our departments and offices are located here, there are also campus areas in other parts of the city.
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For new international students
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.
