|Date||15 - 16 February 2018|
|Speaker(s)||Frédéric Schütz, Linda Dib|
|Cancellation deadline||5 Feb 2018|
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 working knowledge of the R statistical package (equivalent to either the introduction to statistics course, or to the "First steps with R course"). Fluency in R is absolutely required for this 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:
Registration fees are 100 CHF for academics and 500 CHF for for-profit companies. This includes course content material and coffee breaks.
Deadline for registration and free-of-charge cancellation is set is set to 5 February 2018. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions, available at here.
You will be informed by email of your registration confirmation.
University of Lausanne, Génopode building, classroom 2020 (Metro M1 line, Sorge station).
The course will start at 9:00 and end around 17:00. Precise information will be provided to the participants on due time.
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.