Survival Analysis

Date 10 May 2016
Speaker(s) Delphine Grun
ECTS 0.25
Fees *academic: 50 CHF   -   for-profit: 0 CHF
Cancellation deadline 2 May 2016
City Lausanne
*academic fee includes non for-profit organisations as well as unemployed participants at the time of application.


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.


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


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.


Participants should install the R open source software on their laptop and should have a good command of it.


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.


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

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