Statistical Practice in Epidemiology using R.
Friday 23 to Wednesday 28 August 2019
Tartu, Estonia
Organized by the
Institute of Mathematics and Statistics
and the
Institute of Genomics,
University of Tartu
The course starts early morning Friday 23rd, so arrival in Tartu must be on
Thursday 22nd. The course ends on Wednesday 28th 14:00, so departure will be
possible on Wednesday 28th (flights from Tallinn later than 18:00 can be
reached).
Similar courses were given every year since 2000 with the exception of
2003 and 2008. Materials from the two latest courses is available here:
2018,
2017.
Audience
The course is intended for epidemiologists and statisticians who wish
to use R for
statistical modelling and analysis of epidemiological data.
The aim of the course is to give young statisticians (or not so young
epidemiologists) who wish to enter or who has recently entered
biostatistics or epidemiology access to a set of tools in current use
by statisticians in epidemiology.
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.
- 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.
- Nested and matched case-control studies.
- Case-cohort studies.
- Survival analysis in continuous time.
- Competing risk models and relative survival.
- Multistate models.
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.
Faculty:
- Janne Pitkäniemi,
Professor of Cancer Epidemiology,
University of Tampere, Finland
Director of Statistics,
Finnish Cancer Registry, Helsinki, Finland
Department of Public Health, University of Helsinki, Finland
- Krista Fischer,
Professor,
Institute of Mathematics and Statistics and
Institute of Genomics, University of Tartu, Estonia
- Bendix Carstensen,
Senior Statistician,
Steno Diabetes Center Copenhagen &
Department of Biostatistics, University of Copenhagen,
Denmark. Maintainer of the Epi package.
-
Martyn Plummer,
Professor of Statistics,
University of Warwick, UK.
Member of the R core team.
- Esa Läärä,
Professor of Biometry,
Research Unit of Mathematical Sciences, University of Oulu,
Finland.
-
Damien Georges,
Research assistant,
Infections and Cancer Epidemiology section,
International Agency for Research on Cancer, Lyon, France.
Venue
Institute of Mathematics and Statistics,
J
Liivi 2, room 404.
Course fee:
780 EUR (academic); 980 EUR (non-academic)
Includes course, course material, lunch, coffee breaks and social events.
Excludes transport, accomodation and dinners.
The course is a self-supporting entity, and there are NO grants
or stipends available for travel or participation.
Application
Send an e-mail briefly stating your qualifications in
epidemiology and statistics, to the organizers
Kristi Läll & Merli Mändul .
Deadline: 1 June 2019
After the application deadline we will send you the information regarding the registration and accommodation.
Course program and instructions:
Accomodation:
TBA
Transport and getting around in Tartu
Tartu
is situated 185 km south-east of the Estonian captal
Tallinn. Transportation is by air (or sea from Helsinki) to Tallinn
and from there approximately 2.5 hrs. by
bus or
train. The bus calls at Tallinn
airport, the train can be boarded at Ülemiste station, close to the
airport.
There is also an airport in Tartu,
though thinly serviced.
For more information on transport to and around
Tartu, look here.
Last updated 24 January 2019, BxC