|Date||27 - 28 February 2017|
|Speaker(s)||Frédéric Schütz, Alix Zollinger|
|Cancellation deadline||17 Feb 2017|
Do you feel unable to statistically analyse data, despite having already followed an introduction course on statistics ? If yes, this course was created for you.
The goal of this training is to provide researchers with the practical skills required in order to analyse real biomedical data. This includes:
During this two-day training, you will be provided with datasets to analyse in small groups, using information provided by the trainers. The results will then be discussed together. The datasets will be chosen to allow you to cover the most common questions that arise during a statistical analysis, including the assumptions of tests (and the requirement for normality of data in particular), the handling of outliers, missing data.
The course is targeted at researchers who have already followed a basic statistics course (equivalent to our course "Introduction to statistics") and have a basic knowledge of using R (equivalent to either the introduction to statistics course, or to the "First steps with R course").
The course is problem-based and requires active participation from everyone.
At the end of the course, participants will be able to:
Knowledge / competencies:
Technical: A WiFi-equipped laptop with R and R studio installed.
The registrations are now closed.
The registration fees for academics are 100 CHF. This includes course content material, coffee breaks and lunches. Participants from non-academic institutions should contact us before application.
Deadline for registration and free-of-charge cancellation is set is set to 17 February 2017. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions, available at http://www.sib.swiss/training/terms-and-conditions
You will be informed by email of your registration confirmation.
University of Lausanne, Génopode building, classroom 2020 (Metro M1 line, Sorge station).
Coordination: Diana Marek.
We will recommend 0.5 ECTS credits for this course (given a passed exam at the end of the session).
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.
For more information, please contact email@example.com.