Longitudinal Data Analysis - Classical and Modern Statistical Methods

Third-cycle level | 3.0 credits (HEC) | Course code: C7F2858
VT 2025
Study period: 2025-05-05 - 2025-05-16
LANGUAGE OF INSTRUCTION: The course is given in English
Application period: 2024-10-15 - 2024-11-05
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HT 2025
Study period: 2025-12-01 - 2025-12-12
LANGUAGE OF INSTRUCTION: The course is given in English
Application period: 2025-04-15 - 2025-05-06
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Course description

The course is designed to provide you basic knowledge in longitudinal data analysis including repeated measures analysis of variance (ANOVA), mixed effects models and generalized estimating equations (GEE).

The course aim is to lay the ground for longitudinal data analysis and help you to apply appropriate statistical methods for managing and analysing longitudinal data with statistical software. Most class days are split between lecture and computer-based exercises.

Prerequisites and Selection

Prerequisite courses, or equivalent

Knowledge on parameter estimation and interpretation in multivariable linear regression analyses. Experience in using statistical software programs, preferably R, SPSS or STATA.

Selection

Selection will be based on:

1) start date of doctoral studies (priority given to earlier start date). Please make sure that you have entered the correct start date for doctoral education in your application.

2) the relevance of the course syllabus for the applicant's individual stydy plan/research (according to written motivation).

Only applicants with a KI login (KI ID) can apply for this course during the course catalogue's regular application period. Applications for any remaining places may later be opened to other applicants.

Course director

Henrike Häbel

Course syllabus

C7F2858

Department

Department of Learning, informatics, Management and Ethics

Doctoral programme

**Not within a doctoral programme

Type of course

Statistics - intermediary and advanced

Keywords

Repeated measures ANOVA, mixed models, GEE

CONTACTHenrike Häbel

medstat@ki.se