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Multilevel Modelling and
Longitudinal Data Analysis (WK75)
(Online or face to face)

The purpose of Multilevel models, also known as mixed models are used to analyse correlated observations. Correlated observations can occur, for instance, when subjects are clustered within neighbourhoods, patients are clustered within hospitals, students are clustered within schools, etc. Besides this, correlated observations also occur in longitudinal studies where the repeated measurements over time are clustered within each individual. Multilevel analysis provides a very elegant and powerful tool to deal with this clustering, i.e. to deal with correlated observations. For longitudinal data analysis, besides multilevel analysis, also other methods, such as GLM for repeated measures and generalised estimating equation (GEE) analysis, are available.

Course details

Date:
18, 19, 20, 23, 24, 25 January 2023
Tuition fee:
1.750
City: Amsterdam Course coordinator: Professor J.W.R. (Jos) Twisk, PhD
Language: English Learning method: Lectures and computerpractical
Examination: Written exam with computer assignment (facultative) Examination dates: See page Exams
Number of EC: 4 Details: You can choose between a course on location or to take the course online at home. Contact hours: 36
Date Tuition fee:
18, 19, 20, 23, 24, 25 January 2023
1.750
City: Amsterdam
Course coordinator: Professor J.W.R. (Jos) Twisk, PhD
Language: English
Learning method: Lectures and computerpractical
Examination: Written exam with computer assignment (facultative)
Examination dates: See page Exams
Number of EC: 4
Details: You can choose between a course on location or to take the course online at home. Contact hours: 36

About the course

The course is given on location, but it is also possible to take the course online.

If you choose to follow the course on location, you will follow the lectures and the practicals in Amsterdam. If you choose the online variant, you follow all the lectures and practicals via Zoom at the place that suits you best.

When you register for the course, you can indicate which variant you choose. It is not possible to switch between these two options during the course.

This six-day course will explain the basic concepts of multilevel analysis, some specific application of multilevel analysis and will further focus on longitudinal data analysis. The latter includes standard modelling, alternative modelling and the analysis of RCT data. It is an applied course, so the emphasis lies on the interpretation of the results from the different analyses and not on the mathematical background. Lectures are given in the morning and in the afternoon a computer practical is given using the statistical programs STATA, SPSS and R.

If a course is [Full], you can still register, but you will be placed on a waiting list. We will contact you as soon as a place becomes available. At that time you can still decide whether you want to participate in the course.

More information

Faculty