|Date||20 - 23 August 2018|
|Speaker(s)||Frédéric Schütz, Linda Dib|
|Cancellation deadline||10 Aug 2018|
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.
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University of Lausanne
The course will start at 9:00 and end around 17:00. Precise information will be provided to the participants on due time.
Coordination: Patricia Palagi
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