Repeated Measurements [CE08]
Monday to Friday (full days)
Dimitris Rizopoulos, PhD
Erasmus MC, Rotterdam NL
The introduction to R course* of NIHES and Courses for the Quantitative Researcher (SC17) or equivalent knowledge. Familiarity with standard regression models such as the multiple linear regression and logistic regression model. No previous experience of repeated measurements analysis is required.
*Once you have been registered for the CE08 course, you will be automatically enrolled in the Introduction to R course, a short online course..
Detailed information about this course:
This course covers statistical methods to be used when one or more variables are repeatedly measured in time on the same experimental unit. For instance, in a clinical trial, the outcome variable can be measured at baseline and at different times during the treatment period. In a meta-analysis, the study can be regarded as the experimental unit and the observations of patients within the same study as repeated measurements.
In the last 10 or 15 years much progress has been made in the development of new methods of analysis. In recent years several of these new methods have been implemented in a wide variety of computer packages.
The course starts with a short overview of simple methods for analyzing repeated measurements data, followed by a short recap of the most basic concepts of linear algebra needed for the presentation of the most advanced models.
Then the main focus turns on more advanced methods. For approximately normally distributed repeated measurements outcomes marginal and linear mixed models are introduced. For non-normal responses, first the generalized estimating equations (GEE) approach for marginal inferences is presented, followed by extensions of random effects models to categorical outcomes. All these methods are exemplified using data from of clinical and epidemiological studies.
Computer practicals in the statistical programming language R will be used to acquire hands on experience in applying these techniques to real data. All code used during the course will be live demonstrated using a web app, which will be made avaliable to participants.
Ability to use statistical methods where one or more variables are repeatedly measured in time on the same experimental unit.
For everybody using repeated measurements in their (clinical) research.
Attendance, Written exam
Reduction on fees
50% reduction on our fees for participating institutes of NIHES
This 50% reduction is offered to participants appointed at the departments or sections participating in NIHES.
University Medical Center Rotterdam/Erasmus University Rotterdam:
- Department of Epidemiology
- Department of Public Health
- Department of Psychiatry, Section of Medical Psychology and Psychotherapy
- Department of Child and Adolescent Psychiatry/Psychology
- Department of Health Policy and Management
- Department of Medical Informatics
- Department of General Practice
50% reduction on our fees for NIHES affiliated partners
This 50% reduction is offered to participants appointed at the following NIHES affiliated partners:
University Medical Center Rotterdam/Erasmus University Rotterdam, departments of:
- Plastic and Reconstructive Surgery
- Rehabilitation Medicine
Institute of Medical Education Research Rotterdam (iMERR)
Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital
- Department of Cancer Epidemiology
25% reduction on our fees for partner institutes of NIHES
For participants appointed at the following departments, institutes:
- Departments of Erasmus MC (except the departments mentioned above)
- Addiction Research Institute (IVO)
- Integraal Kankercentrum Zuid (IKZ)
- Pallas Health Research and Consultancy
- Municipal Health Service Amsterdam (GGD Amsterdam)
- Municipal Health Service Rotterdam (GGD Rotterdam)
25% reduction for all (international) PhD students
Please state your tutor’s name and email address on the application form (remarks field).