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 Läärä, 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