Advanced statistics: Statistical modelling
Lausanne, 10-13 June 2014
The course will be centered on "statistical modeling" applied to biological problems, and we plan to discuss the following topics: advanced linear models, mixed models, generalized linear models, classification, and a short introduction to some Bayesian statistics. The emphasis will be put on concrete applications in biology.
This course will build up on the content of our course Introduction to statistics for biologists; participants must therefore be comfortable will the topics taught in the introductory course, including hypothesis testing, linear models, correlation and regression. Most importantly, they must have prior knowledge of the "R" language and environment for statistical computing and graphics.
Participants must bring a laptop with at least 4 Gb of RAM and the R software installed. More information about the packages needed will be provided before the course.
Application is now closed (the course is full)
The registration fees for academics are 200 CHF. The fees include course content material, coffee breaks and a social dinner on the 10th of June. Participants from non-academic institutions should contact us.
Deadline for registration and cancellation is set to the 26th of May 2014.
The course will be taught by Charlotte Soneson, PhD and Frédéric Schütz, PhD.
You are welcome to register to the SIB courses mailing-list to be informed of all future courses and workshops, as well as all important deadlines using the form here.
We will recommend 2 ECTS credits for this course (given a passed exam).
For more information, please contact email@example.com
Mixed models (Frédéric Schütz, BCF, SIB)
Introduction to generalized linear models with examples in R (Charlotte Soneson, BCF, SIB)
Introduction to classification with examples in R (Charlotte Soneson, BCF, SIB)
Bayesian statistics (Frédéric Schütz, BCF, SIB)