Description:
Mixed models provide a framework for analysing data with multiple sources of random variation and they are indispensable in many medical, biological, and engineering applications. When treatments are tested in medical applications, the responses for a group of individuals receiving the same treatment often vary due to unobserved genetic factors and this variation must be taken into account when comparing different treatments. Similarly, in agricultural field trials, random soil variation affects the yield within plots. In quality control applications, the variability of the output of a production process may, apart from random noise, e.g. depend on the batches of raw material used and the employee involved in the manufacturing process.
The course will provide an introduction to statistical analysis with linear mixed models. The course will focus on modelling issues, on how a statistical analysis can be carried out for a mixed model, and on interpretation of models and results. Hands-on experience with real data will be obtained through computer exercises.
Literature
Julian Faraway (2006). Extending the linear model with R – generalized linear, mixed effects and nonparametric regression models. Chapman & Hall/CRC Press.
Hand-outs and exercise sheets for the lectures.
Prerequisites
A basic knowledge of statistics (linear regression) and probability theory (concept of random variables, expectation and variance) is expected.
Evaluation
The students will be evaluated based on their solutions of selected exercises and their attendance of lectures.
Organizer:
Professor Rasmus Waagepetersen, email: rw@math.aau.dk
Lecturers:
Professor Rasmus Waagepetersen, Aalborg University
ECTS:
1.0
Time:
April 30 and May 6, 2013 (08.15-12.30 (April 30) and 12.30-16.15 (May 6))
Place:
Aalborg University
Fredrik Bajers Vej 7E, Room E3-209
Zip code:
9220
City:
Aalborg
Number of seats:
Deadline:
April 3, 2013
Important information concerning PhD courses
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Rasmus Waagepetersen