Education and Training
Statistical Practice in Epidemiology with R
23 to 29 May 2013
R is a language and environment for statistical analysis and graphics. R provides a wide variety of statistical and graphical techniques, and is highly extensible. The course “Statistical Practice in Epidemiology with R” is an introduction to R for epidemiologists with the aim of showing how common epidemiological analyses can be carried out in R. The course also covers a selection of more advanced topics showing the power of the R language.
- 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.
- Nested and matched case-control studies.
- Case-cohort studies.
The "Statistical Practice in Epidemiology" course has been running since 2002 in Tartu, Estonia. The faculty for the 2013 course are:
Krista Fischer, Senior Researcher, Estonian Genome Center, University of Tartu, Estonia.
Esa LÃ¤Ã¤rÃ¤, Professor of Biometry, Department of Mathematical Sciences, University of Oulu, Finland.
Martyn Plummer, Statistician, International Agency for Research on Cancer,Lyon, France. Member of the R core team.
Fill in the online application form. The deadline for applications is 1 April 2013.
Further information about the course schedule can be found at the SPE home page.
FOR FURTHER INFORMATION, PLEASE CONTACT:
IARC Courses Programme
International Agency for Research on Cancer
150 cours Albert Thomas
Tel: +33 4 72 73 80 72
Fax: +33 4 72 73 80 80