|Date||13 - 16 March 2017|
|Cancellation deadline||9 Mar 2017|
In this course, we will see more advanced statistical models and techniques to provide you the necessary set of tools that will enable you to analyze different types of (biological) data, beyond classical linear modeling.
The course will be centered on "statistical modeling" applied to biological problems. Topics addressed during this course include advanced linear models, mixed models, generalized linear models, survival analysis. The emphasis will be put on concrete applications in biology, enabling the participants to analyze data consisting for example of counts or presence/absence of a feature.
This course is intended for life scientists who already have some basic knowledge of statistics and the programming language "R".
At the end of this course, participants are expected to be able to:
The course is intended to people already familiar with basic statistics and R. In particular people who have already followed the course "introduction to statistics for biologists". Participants must be comfortable with topics such as hypothesis testing, linear models, regression and must have a 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.
The registration fees for academics are 200 CHF. This includes course content material, coffee breaks, and a social dinner. Participants from non-academic institutions should contact us before application.
Deadline for registration and free-of-charge cancellation is set to March 6, 2017. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to this and other general conditions, available here.
You will be informed by email of your registration confirmation. Upon reception of the confirmation email, participants will be asked to confirm attendance by paying the fees within 5 days.
University of Lausanne, in the following classrooms:
Coordination: Patricia Palagi
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