Course in Statistical Practise in Epidemiology using R
STATISTICAL PRACTICE IN EPIDEMIOLOGY USING R
Tartu, Estonia, Thursday 8 - Tuesday 13 June 2006
The course is aimed at epidemiologists and statisticians who wish to
use R for statistical modelling 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
History of R. Language. Objects. Functions.
Interface to other dataformats. Dataframes.
Classical methods: Mantel-Haenszel etc.
Tabulation of data.
Logistic regression for case-control-studies.
Poisson regression for follow-up studies.
Parametrization of models.
Graphics in R.
Graphical reporting of results.
Time-splitting & SMR.
Survival analysis in continuous time.
Parametric survival models.
Nested and matched case-control studies.
Competing risk models.
Bootstrap and simulation.
The methods will be illustrated using R in practical exercises.
The Epi package for epidemiological analysis in R will be introduced.
Participants are required to have a fairly good understanding of
statistical principles and some familiarity with epidemiological
concepts. The course will be mainly practically oriented with more
than half the time at the computer.
Price: 500 EUR. (250 EUR for cuntries outside EU-2003 and the like).
Application deadline: 15 April 2006.
Further information at: www.biostat.ku.dk/~bxc/SPE
Krista Fischer, University of Tartu, Estonia
Esa Läärä, University of Oulu, Finland
Bendix Carstensen, Steno Diabetes Center, Denmark