STATISTICAL PRACTICE IN EPIDEMIOLOGY USING R

Tartu, Estonia, Friday 30 May to Wednesday 4 June 2014

(See also the attached flyer)

The course is intended for epidemiologists and statisticians who wish to use R (www.r-project.org<http://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 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.

Venue:
Department of Mathematical Statistics
University of Tartu
J. Liivi 2,
EE - 50409 Tartu
Estonia

Price: 550 EUR for academic participants, 800 EUR for non-academic participants
- Includes tuition, course material, lunches, coffee breaks and social events (welcome cocktail and course dinner).
- Excludes travels, accommodation, and other meals

The course is a self-supporting entity, and there are NO grants or stipends available for travel or participation.

Registration: Send an e-mail which briefly states your qualifications in epidemiology and statistics to the organizers
* Bendix Carstensen: BxC@steno.dk<mailto:BxC@steno.dk>
* Esa Läärä: Esa.Laara@oulu.fi<mailto:Esa.Laara@oulu.fi>
* Krista Fischer: Krista.Fischer@ut.ee<mailto:Krista.Fischer@ut.ee>

Deadline for application: 1st April 2014.
Further information to applicants will be given by e-mail shortly after the deadline.

Course homepage: http://BendixCarstensen.com/SPE