Course in
STATISTICAL PRACTICE IN EPIDEMIOLOGY USING R
Tartu, Estonia, 17 to 22 June 2010.
www.biostat.ku.dk/~bxc/SPE
The course is intended for epidemiologists and statisticians who wish to
use R (www.r-project.org) for statistical modelling and analysis of
epidemiological data. The aim of the course is to give participants
access to a set of tools in current use by statisticians in
epidemiology. The course requires fairly good understanding of
statistical principles and some familiarity with epidemiological
concepts and study types.
The course will be mainly practically oriented with more than half the
time at the computer.
Contents:
* 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.
* Survival analysis, competing risks and multistate models.
* Nested and matched case-control studies.
* Case-cohort studies.
* Using MCMC-methods and JAGS in epidemiologial studies
Fees:
Commercial: 1000 EUR, Academic: 750 EUR / 500 EUR. The 750 EUR are for
participants from the EU pre-2004, North America and the like. 500 for
participants from other countries.
Includes course, course material, lunch, coffee breaks and social events.
Excludes transport, accommodation and dinners.
The course is a self-supporting entity, and there are NO grants or
stipends available for travel or participation.
Deadline for application: 15th April 2010.
Send and e-mail which briefly states your qualifications in epidemiology
and statistics, to the organizers:
- Krista Fischer <[log in to unmask]>,
- Esa Läärä <[log in to unmask]>,
- Bendix Carstensen <[log in to unmask]>.
Information to applicants will be given by e-mail shortly after the
deadline.
Further information at: www.biostat.ku.dk/~bxc/SPE
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