Statistical data modelling (2,5 ECTS)
The course "Statistical data modelling" (PH016F1) provides a practical introduction to advanced statistical analysis and modelling. The course gives an overview of statistical concepts, methods, and models used for the analysis of associations between multiple variables. After the course, the student will have a basic understanding of, for example, confounding, mediation, and interaction, and will be able to perform analyses of associations using multiple variables.
Course dates
Spring 2023, period B (week 10-11)
PH016F1 Kursplan (på svenska, juridiskt dokument)
Course content
The purpose of the course is to give the student a practical introduction to basic statistics. The course includes an overview of basic statistical concept and measurements. After the course, the student will be able to manage quantitative data materials and generate descriptive statistics using statistical software, as well to present and interpret these statistics.
Course managers
Anders Ledberg and Ylva B Almquist
Schedule
The schedule will be announced at least one month before the course starts.
Course literature
Please note that the course literature can be changed up until to two months before the course starts.
For Spring term 2022:
Course description PH014F1-PH016F1 2022 (195 Kb)
More information
This course is offered in collaboration with the Master’s programme in public health sciences: Societal and individual perspectives. The teaching occasions are to be attended jointly with the master students. All registered students will get access to the schedule and course material in Athena
Admission
If you are interested in taking the course, please send an email to study administrator kursadmin.publichealth@su.se
Contact
Further questions?
If you have any questions about the course, please contact
Director of studies studierektor.f.publichealth@su.se
or
Study administrator kursadmin.publichealth@su.se
Director of Studies
Study administrator
Last updated: October 19, 2022
Source: Department of Public Health Sciences