• Startdatum:
  • 25 mei 2020
  • Cursusduur:
  • 5 dagen
  • Werkzaam als:
  • (Wetenschappelijk) onderzoeker, PhD, Student

THIS COURSE IS CANCELLED

The Leiden University Medical Center finds it extremely important to protect its patients and employees against the risk of spreading the corona virus (SARS-CoV-2). Our patients are often very vulnerable and our staff can’t be missed: continuity of care is essential for us. The decision has been made to cancel the course ‘1st LUMC-Symposium on Qualitative Research’ due to the coronavirus and we realize that cancelling this course has a great impact.

We have informed the participants and speaker personally about this cancellation.

 

Repeated measurements in clinical and epidemiological research

The course covers statistical methods to be used in the situation where one or more outcome 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. For this type of data, traditional regression models cannot be used since outcomes of the same subject may be correlated, and this should be taken into account in the statistical model. Other examples of studies where there is a similar dependency in the outcome measurements are cluster randomised trials and meta-analysis. In the last one or two decades, much progress has been made in the development of new methods of analysis for dependent outcome data. In recent years several of these new methods have been implemented in commercially available computer packages. In the course, first an overview of classical approaches to repeated measurements will be given. Then modern methods are introduced. For approximately normally distributed response, focus will be on the General Linear Mixed Model. For non-normal response, the generalized estimating equations (GEE) approach for marginal models is discussed. Also some attention will be paid to random effects model, for instance random effects logistic regression. Examples of clinical and epidemiological applications will be given. In the computer labs, exercises with SPSS are used to get experience with applying these new methods to real data.Prerequisites

Familiarity with standard regression models such as the multiple linear regression and logistic regression model. No pre-knowledge of repeated measurements analysis is required.

Monday 25 May 2020

08:30 Registration
09:00 Lectures
13:30 Practical exercises
16:30 Plenary discussion

Tuesday 26 May 2020

08:45 Registration
09:00 Lectures
13:30 Practical exercises
16:30 Plenary discussion

Wednesday 27 May 2020

08:45 Registration
09:00 Lectures
13:30 Practical exercises
16:30 Plenary discussion


 

Thursday 28 May 2020

08:45 Registration
09:00 Lectures
13:30 Practical exercises
16:30 Plenary discussion

Friday 29 May 2020

08:45 Registration
09:00 Lectures
13:30 Practical exercises
16:30 Plenary discussion
Dr. R. Tsonaka
LUMC
Albinusdreef 2, 2333 ZA Leiden

Building: Gebouw 1
Route: route 762
Room: Collegezaal 4

Participation is free of charge for bachelor and master students of the Leiden University or VU University. Please fill in your student email address and your student number. Please be informed that we can ask you to show your student pass at the registration desk.

Please note that a fee will be charged to those who do not attend courses or who are too late cancelling their participation of the course.

Course fee

€ 950,00

Fee for LUMC employees/PhD students € 150,00

Fee for bachelor and master students of the Leiden University or VU University

€ 0

Fee for bachelor/master students outside Leiden University

€ 75,00