IDEG training day
Abu Dhabi, Monday December 11th, 2017
Survival models and Cox-regression
Should you be interested in furthering you knowledge of R for
epidemiology, you may be interested in the course
- Bendix Carstensen,
Senior Statistician, Steno Diabetes Center & Department of
Biostatistics, University of Copenhagen, Denmark.
Matt Cooper, Manager of Biometrics at the Telethon Kids Institute in
Slides, and handouts as
- Lecture notes and practicals
These lecture notes contain a very condensed overview of survival
concepts. The exercises are fairly short and intended to
illustrate computational aspects of the lectures.
The practicals contained in the notes are primarily intended to
be done in R for which datasets are available.
- Computing: If you intend to use a computer during the
practicals and use R you should have the latest version of R
(version 3.4.2) installed; also the package Epi (version
How to: While connected to the internet, click on "Packages"
select a mirror (a server site, that is) from where to get the
packages and subsequently select the packages.
- Check the installation by firing up R, typing:
library(Epi) and checking the versions of
R and the Epi package by typing sessionInfo()
- Data sets for practicals
- R programs with solutions for practicals
Statistical Practice in
Epidemiology with R, in Lyon, France, June 2018.
Last updated 2 December 2017, BxC