Lausanne, 2 October 2015
The aim of this course is to provide the basic knowledge and tools necessary to analyze survival data (data that consists of time durations until one event happen).
The first part of the course will consist in an introduction to survival analysis, illustrated with practical examples. During the second part, we will analyze survival data using the "R" statistical software; participants can bring their own survival data and get help on how to analyze them, or they will be provided with common datasets.
The course will go through the following topics: survival data, censoring, main functions and notations; Kaplan-Meier model, Kaplan-Meier curves, log-rank test; Cox PH model, PH assumption, Hazard Ratio.
This course is intended for biologists who have a general background in statistics.
At the end of the course, the participants will be able to:
- Identify survival data and be aware of its peculiarities
- Represent survival curves
- Evaluate the difference in survival between different groups
- Determine potential explanatory variables for survival time
Knowledge / competencies: A basic knowledge in statistics is recommended in order to attend the course; participants should also be familiar with the command line environment of the “R” language.
Technical: Participants should bring their own laptop with a Wifi connection and the "R" software installed (see http://www.r-project.org/ for more information).
The registration fees for academics are 50 CHF. This includes course content material and coffee breaks. Participants from non-academic institutions should contact us before application.
Application is closed
Deadline for application and free-of-charge cancellation is set to September 25. 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.isb-sib.ch/training/training-general-conditions.html.
You will be informed by email of your registration confirmation.
The course will be taught by Dephine Grun, SIB Bioinformatics Core Facility group.
We will recommend 0.25 ECTS credits for this course (given a passed exam at the end of the session).
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