Course in
STATISTICAL PRACTICE IN EPIDEMIOLOGY USING R
============================================
Tartu, Estonia, 25 to 30 May 2007
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 depth.
Contents:
---------
* History of R. Language. Objects. Functions.
* Interface to other dataformats. Dataframes.
* Graphical methods for exploring data.
* Classical methods and 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.
* Causal inference.
* Time-splitting & SMR.
* Survival analysis in continuous time.
* Interval censoring.
* Nested and matched case-control studies.
* Case-cohort studies.
* Competing risk models.
* Multistage models.
* Bootstrap and simulation
The methods will be illustrated using R in practical exercises.
The Epi package which is under development 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: 600 EUR. (300 EUR for countries outside EU-2003 and the like).
Application: Deadline 1st April 2007. Send and e-mail which briefly states your
qualifications in epidemiology and statistics, to the organizers Krista
Fischer, Esa Läärä & Bendix Carstensen.
Further information at: www.pubhealth.ku.dk/~bxc/SPE
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Organizers:
Krista Fischer, University of Tartu, Estonia <[EMAIL PROTECTED]>
Esa Läärä, University of Oulu, Finland <[EMAIL PROTECTED]>
Bendix Carstensen, Steno Diabetes Center, Denmark <[EMAIL PROTECTED]>
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