ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
Survival Analysis
02 May 2016
For-profit: 0 CHF
No future instance of this course is planned yet
Overview
This course will introduce the principles and methods used in survival analysis, that is the analysis of data that consists of time durations until one event happens. The course will be organized as follows: theoretical introduction to topics such as Kaplan Meier curves, log-rank test and coxph model, followed by some examples and exercises in R.
Audience
This course is intended for life scientists who already have some basic knowledge of statistics and the programming language R.
Learning objectives
At the end of the course participants should 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
Prerequisites
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 install the R open source software on their laptop and should have a good command of it.
Application
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.
Deadline for registration and free-of-charge cancellation is set to May 2. 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.
Location
University of Lausanne, Génopode Building, room 2020
Additional information
The course will be taught by Delphine Grun from the Bioinformatics Core Facility at SIB.
Coordination: Diana Marek, Training group at SIB
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 training@sib.swiss.