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