Statistical data modelling
2.5 credits cr.
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The purpose of the course is to give the student 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, you will have a basic understanding of, for example, confounding, mediation, and interaction, and will be able to perform analyses of associations using multiple variables.
The course consists of nine sessions, divided into A and B, offered through zoom.
Anders Ledberg is responsible for the A-sessions. During these, he will provide a summary of the topic at hand (largely based on the literature). There will also be activities such as group discussions. Each session ends with a Q&A.
Ylva B Almquist is responsible for most B-sessions. These sessions take the form of workshops. You will be divided into groups and do practical exercises with Stata. Each session starts with a 30-minute introduction to the workshop, and ends with a 1-hour wrap-up. In between, the groups work with a task that is specified beforehand – the group members decide among themselves on how to structure their work.
Preparations for the sessions consist of readings, videos, and individual exercises. There will be detailed instructions on how to prepare in advance of each session. The required reading will not be extensive. The videos are walkthroughs of chapters in the Stata guide, accompanied by individual exercises.
For more detailed information, please see the course description: PH10A0 Course description, Spring term 2021 (573 Kb)
The examination consists of three individual assignments (one per course) which are basically compilations of the work you have been doing during the B-sessions.
Course literatureNote that the course literature can be changed up to two months before the start of the course.
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