Course in Generalized Linear Models with Biological Applications

In spring 2008 (start: 25. February) our reserach group offers a course in generalized linear models with biological applications.

The course introduces the modeling (regression analysis) of non-normal observations as for example counts and proportions. Methods to handle correlated observations will also be introduced. The lectures are accompanied by computing exercises using the statistical package ‘R’. Due to its versatility and graphical capacities it has something to offer even to the experienced SAS user.

The course is open to everyone with basic statistical knowledge. The course is free of charge for PhD students. It is also free for students and employees affiliated to Aarhus University. The course is approved as a PhD course (10 ECTS points) at Aarhus University.

For additional information please check the course homepage

Best regards

Ulrich Halekoh

Data and program examples from SAS for Mixed Models

In our current mixed model course we use the book SAS for Mixed Models, Second Edition by Ramon C. Littell, George A. Milliken, Walter W. Stroup, Russell D. Wolfinger, and Oliver Schabenberger

This is the first time we use the 2nd edition of the book. The changes in the second edition includes extensive use of the output delivery system (ODS) and examples using e.g. PROC NLMIXED and PROC GLIMMIX rather than the glimmix macro used in the 1st edition.

Participants in our previous courses might be interested in updating the file with program and data examples. It can be downloaded from the companion page above. The link to the file is a little different to find on the page, so you may just follow this link to program examples and data

Course in generalized linear models

In spring 2007 (start: 26. February) the Unit of Statistic and Decision Analysis offers a course in generalized linear models with biological applications.

The course introduces the modeling (regression analysis) of non-normal observations as for example counts and proportions. Methods to handle correlated observations will also be introduced. The lectures are accompanied by computing exercises using the statistical package ‘R’. Due to its versatility and graphical capacities it has something to offer even to the experienced SAS user.

The course is open to everyone with basic knowledge in statistics. The course is free of charge for PhD students, and other students and employees affiliated to the faculty of agricultural sciences. For other participants the course fee is 12000 DKK. The course has been approved as a PhD course (9 ECTS points) on former KVL.

For additional information please check the course homepage
http://genetics.agrsci.dk/statistics/courses/phd07/


Best regards

Ulrich Halekoh