Course: Mixed Models for Clustered Data

Aim
Applying and understanding mixed models for continuous, dichotomous and count outcome variables in relation to explanatory variables for cross-sectional and longitudinal data

Organization
Within two weeks, five sessions of four hours will be provided. Per session there will be 2.5 hours of lectures and 1.5 hours performing exercises. In total 20 contact hours are provided.

Intended for
PhD students, and master students interested in statistical models for analysing data with cluster structures, for example in longitudinal or multilevel data.

Content
The family of mixed models is a very useful statistical toolbox for the analysis of clustered data (e.g. members of the same family, patients within one hospital, repeated measures of individuals, etc.).
This course will provide knowledge on the concepts of linear mixed models and generalized linear mixed models for cross-sectional and longitudinal data  for numerical or dichotomous outcome variables.
The course will explain and practice with general estimating equations (GEE), maximum likelihood estimation (MLE), and restricted maximum likelihood estimation (REML).
Using many practical examples, the model specification, analysis and interpretation of the results will be explained in this course. In the accompanying workshops, the course participants have the possibility of guided training using SPSS.                              

The main  topics of the course will be

• Analysis of variance models
• Linear mixed models
• Generalized linear mixed models
• Model specification approaches

For those who want to dive deeper into longitudinal data analysis, the course “Applied longitudinal data analysis” is recommended!

Exam
100% participation is required, a written assignment is optional

Schedule 2020

NB. Due to unexpected circumstances the course has been postponed to September.
New preliminary schedule:

September 14, 15, 17, 21, 22

Lectures: 9.00-11.00 (might take a bit longer until max. 11.30), Location: tbd
Practicals: 11.00-13.00, Location: tbd

Exam: September 28, 9:00-12:30
Location: tbd

Date

September 14–28, 2020

Time

09:00–13:00

EC (without exam)

2

EC (with exam)

2.5

Location address

Course coordinator

• Sacha la Bastide, PhD
  

Language

English

Target Groups

• PhD students
• ReMa students

Vacancies

enough

Deadline for registration

August 23, 2020

Registration

starting May 11, 2020 09:00

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