Introduction to statistics for biologists 2013
Lausanne, 9-13 September 2013
This course is designed to provide graduate students in the biomedical sciences with experience in the application of basic statistical analysis techniques to a variety of biological problems.
Attendees will work through short tutorials on the topics discussed in the class. During the practical exercises students will learn how to work with the widely used "R" language and environment for statistical computing and graphics.
Topics covered during the course include: numerical and graphical summaries; introduction to hypothesis testing (t-tests, ANOVA); linear models, correlation and regression; cluster analysis; principal component analysis; etc.
- Participants are asked to bring their own laptop (wifi) with the "R" program installed
- No prior statistical knowledge is required in order to attend the course, however we strongly recommend that participants get familiar with the R statistical analysis package prior attending the course.
As the practical exercises will necessitate the use of the R program, you should already be familiar with the command line environment of such tool to avoid spending too much time during the practical exercises with the syntax of the program. Please read some documentation to familiarize yourself with the R language and try some simple examples present in our R tutorial.
The registration is closed.
The registration fee for Swiss academics is 200 CHF. (Some doctoral programs may subsidize the course; please contact your doctoral program for more information).
The fees include course content material, coffee breaks and a social dinner (usually tuesday evening).
Participants from the industry or from abroad should contact us.
The deadline for registration and free-of-charge cancellation is set to the 26th of August.
Potential participants can subscribe to our course announcement mailing-list and will be kept updated with news about the course and other courses organized by the SIB.
ECTS accreditation: 2 credits
Important: successful participating graduate students will have to inquire if these credits are accepted by their respective graduate schools.
For more information, please contact firstname.lastname@example.org