Data management for epidemiological data analysis:
Practical estimation of prevalence, mortality and survival in diabetes with R
Trainee workshop at the
IDEG 2025 meeting in Bangkok,
Thursday 3 April 2025
Teacher:
Bendix Carstensen,
Senior Statistician, Steno Diabetes Center Copenhagen, Herlev, Denmark
The workshop is intended for young diabetes epidemiologists.
It will provide a brief introduction to the concepts and required data
structures of prevalence -- --(yes/no to presence of diabetes) and
to survival and mortality rate (deaths and person-years).
Simple practicals using R
will illustrate the concepts.
- Venue: Bangkok International Trade & Exhibition Centre (BITEC), Rooms Silk 3 & 4
- Time: Thursday 3 April 2025, 10:15 - 12:00
- Computing requirements:
- A couple of sheets of blank paper and a pencil (fountain pen if
available)
- A computer with an installation of the latest
R
-version (4.4.3)
- with the latest versions of the
Epi
package (2.59)
- and the
popEpi
package (0.4.12).
- Practicals with solutions. Includes
the workshop program.
The workshop is built around the practicals document.
- R code for all practicals.
- Data sets for practicals.
- slides
--- handouts as 1-ups or
3-ups or
10-ups.
-
Related to (but not part of) the workshop topics:
-
Overview of basic concepts in survival analysis. A
compressed overview of essential quantities and their
interrelations.
-
Epi package
website. Links to vignettes from the package and notes on survival
and multistate modeling.
-
Epidemiology with R book website. Some of the workshop
topics are covered in the book, but far from all. Lots of material
in the book is not covered in this workshop. Bendix is the author of
the book, so this is purely a commercial.
-
Modern demographic methods in epidemiology
website with links to earlier courses of similar content, with
links to papers of relevance. Some really outdated, though.
-
Practical Multistate Modeling with
R and
Epi::Lexis A draft
book manuscript. This is work in progress, so prone to
change at unexpected times. Nevertheless, any comments and
suggestions are welcome.
- Links to Bendix's published work using the Lexis machinery is
here.
Last updated 31 March 2025, BxC