Statistical Practice in Epidemiology using R.
Course from Thursday 14 to Wednesday 20 June 2018
Organized by the
International Agency for Research on Cancer
The course starts early morning Thursday 14 June, so arrival in Lyon must be on
Wednesday 13 June.
The course ends Wednesday at 14:00, so departure will be
possible on Wednesday (flights from Lyon later than 18:00 can be
Similar courses were given every year since 2000 with the exception of
2003 and 2008; mostly in Tartu Estonia.
Website of 2017 contains slides and practicals
used. Some similarity to the 2018 course material is expected.
The course is intended for epidemiologists and statisticians who wish
to use R for
statistical modelling and analysis of epidemiological data.
The aim of the course is to give young statisticians (or not so young
epidemiologists) who wish to enter or who has recently entered
biostatistics or epidemiology access to a set of tools in current use
by statisticians in epidemiology.
The course requires basic knowledge of epidemiological concepts and
study types. These will only be briefly reviewed, whereas the more
advanced epidemiological and statistical concepts will be treated in
- History of R. Language. Objects. Functions.
- Interface to other dataformats. Dataframes.
- Tabulation of data.
- Logistic regression for case-control-studies.
- Poisson regression for follow-up studies.
- Causal inference.
- Parametrization of models.
- Graphics in R.
- Graphical reporting of results.
- Time-splitting & SMR.
- Nested and matched case-control studies.
- Case-cohort studies.
- Survival analysis in continuous time.
- Competing risk models and relative survival.
- Multistate models.
All methods will be thoroughly illustrated using R in practical
The Epi package
which is developed for epidemiological analysis in R will be introduced.
Particular attention will be given to the reporting of the results; in
particular the use of graphics.
- Krista Fischer,
Estonian Genome Center, University of Tartu,
- Esa Läärä,
Professor of Biometry,
Department of Mathematical Sciences, University of Oulu,
- Janne Pitkäniemi,
Finnish Cancer Registry, Helsinki, Finland &
Department of Public Health, University of Helsinki, Helsinki, Finland .
- Bendix Carstensen,
Steno Diabetes Center Copenhagen, Gentofte &
Department of Biostatistics, University of Copenhagen,
Denmark. Maintainer of the Epi package.
- Martyn Plummer,
International Agency for Research on Cancer, Lyon, France.
Member of the R core team.
Academic: 700 EUR, Non-academic 950 EUR
IARC course site
IARC course flyer
IARC course application form
Course program and instructions:
- Download the latest version of R (currently 3.4.3)
example), and install it.
- Install the
currently in version 2.24 from
or by starting R and then typing:
at the command prompt in R. If you have an older version of
Epi, then update
to 2.15. This requires that your computer is connected to
The latest version of
may be obtained from
and install it.
- Install the R-packages
by starting R and then typing:
at the command prompt in R. This requires that your
computer is connected to the net.
It may also be of interest to install the package
- If you are not very familiar with R,
here is a draft version of a
short introduction to R, aimed at an uninitiated audience.
Concepts in survival and demography
is a brief account of basic concepts and their
demonstration written by Paul Lambert, University of Leicester.
Last updated 22 December 2017, BxC