Statistical Practice in Epidemiology using R.
Course from Thursday 23 to Wednesday 29 May 2013
The course is intended for epidemiologists and statisticians who
wish to use R for
statistical modeling and analysis of epidemiological data.
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 depth.
- History of R. Language. Objects. Functions.
- Interface to other data formats. Data frames.
- 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 & Standardized Mortality Ratios.
- Survival analysis and competing risks.
- Multi-state models.
- Nested and matched case-control studies.
- Case-cohort studies.
All methods will be thoroughly illustrated using R in
practical exercises. 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.
There will be no course on the Sunday; participants will be free to
explore Lyon. The schedule is:
- Thursday 23: Full day
- Friday 24: Full day
- Saturday 25th: Full day
- Sunday 26th: Free
- Monday 27th: Full day
- Tuesday 28th: Full day
- Wednesday 29th: Half day
- The course is a mixture of lectures and practicals, with
emphasis on hands-on help from the faculty during the practical
- Participants should bring their own laptop, with the latest
versions of both R and the Epi package installed.
- Participants will have access to all the course materials,
including solutions to the exercises, after the course.
- Bendix Carstensen,
Steno Diabetes Center, Gentofte & Department of Biostatistics,
University of Copenhagen, Denmark.
Maintainer of the Epi
package for R
- Krista Fischer,
Senior Researcher, Estonian
Genome Center, University of Tartu, Estonia.
Läärä, Professor of Biometry, Department of
Mathematical Sciences, University of Oulu, Finland.
- Martyn Plummer,
Agency for Research on Cancer, Lyon, France.
Member of the R core team.
Course fee: 600 EUR
Includes course, course material, coffee breaks, and social
events (welcome cocktail and course dinner).
Excludes transport, accommodation, lunches and evening meals.
The course is a self-supporting entity, and there are NO
grants or stipends available for travel or participation.
Please fill in the electronic
Deadline for application: 1 April 2013
Information to applicants will be given by e-mail shortly after the deadline.
International Agency for Research on
Cancer, Lyon, France
Course participants are responsible for arranging their own
accommodation. A list of hotels and residences will be sent to
Transport to Lyon:
Lyon has an international
airport serving 115 direct destinations. Some routes are
available on low-cost airlines.
A high-speed tram connects
the airport to the city centre.
Lyon can also be reached directly by TGV from Charles de Gaulle
Airport in Paris (2 hrs).
Lyon has an extensive public
transport network. The IARC can be reached
from the town centre on metro line D.
Arrival must be Wednesday 22nd, as the course starts at 8:45 on
Departure can be Wednesday 29th in the evening, as the course
ends at 13:00.
Updated 5 February 2013