3–7 June 2024 – IARC, Lyon, France
APPLY HERE
The training course “Statistical practice in epidemiology using R” has been delivered every year since 2000 with the exception of 2003, 2008 and 2020-2022.
In 2024, the course is back at the International Agency for Research on Cancer (IARC) in Lyon, France in its new building. The course duration is 5 days, face-to-face. It will start at on Monday 3 June and requires that you arrive in Lyon the day before. The course will end on Friday 7 June early afternoon.
Aim
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 have recently entered bio-statistics 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.
Content
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. More information.
Faculty
- Janne Pitkäniemi, Professor of Cancer Epidemiology, University of Tampere, Finland; Director, Finnish Cancer Registry, Helsinki, Finland; Department of Public Health, University of Helsinki, Finland
- Damien Georges, Senior Research assistant, Early Detection, Prevention, and Infections Branch, International Agency for Research on Cancer, Lyon, France.
- Bendix Carstensen, Senior Statistician, Steno Diabetes Center Copenhagen & Department of Biostatistics, University of Copenhagen, Denmark. Maintainer of the Epi package.
- Krista Fischer, Professor, Institute of Mathematics and Statistics and Institute of Genomics, University of Tartu, Estonia
- Esa Läärä, Professor emeritus of Biometry, Research Unit of Mathematical Sciences, University of Oulu, Finland.
- Martyn Plummer, Professor of Statistics, University of Warwick, UK. Member of the R core team.
Registration fees:
| Academic participants | 1000 EUR |
| Non-academic participants | 1200 EUR |
The non-refundable registration fee includes the five days training course and coffee breaks, a welcome reception and a conference dinner. It excludes transport, accommodation, breakfasts, lunches and dinners (except for the conference dinner).
Note: there is no IARC sponsorship nor scholarship available.
Applicants should complete the online form below, in English: