Modern demographic methods in epidemiology
The course will give an overview of modern demographic methods in
epidemiology, including a practical training in analysis and reporting
study results both in tabular and graphical form
The practical exercises will be based on the free computer
for which a number of packages for epidemiology are available.
package for R will be used in this course. Participants should bring
their own computer.
Formally no prior knowledge of R is
required, a short introduction is given, but please see to it that you
have all the relevant paraphernalia installed on your computer as
indicated at the bottom of this page, particularly if you are not
familiar with R.
- Venue & time: Burke and Hare Suite,
Hotel du Vin, 11 Bristo Square, Edinburgh, EH1 1EZ
The course starts with a welcome lunch at 12 o'clock on Tuesday
26 August at the Hotel du Vin.
- Topics covered:
- Rates, survival function, etc.:
Connection between all basic concepts from a probability point of view.
- Multistate models, competing risks.
- Lexis diagrams and multiple timescales.
- Cox-modelling of rates.
- Splitting the follow-up.
- Poisson modelling of rates.
- Modelling multiple time scales.
- Multiple time scales and multistate models.
- Practial application of methods in register studies.
- a detailed account of an actual analysis.
- Reporting rates and probabilities from models.
- Lectures and computer practicals:
Senior Statistician, Steno Diabetes Center & Department of
Biostatistics, University of Copenhagen, Denmark.
- Course organizer:
Wild, to whom inquiries of participation should be directed.
- Course program.
- Course material:
- R topics:
on your computer:
and download the latest version of
(3.1.1) and install it.
Once you have installed / updated R install the
package using the menu button
Packages and then
Install packages or
- Finally, from inside R type:
- and you should be informed that you have version 3.1.1
of R and version 1.1.67 of
- If you are not familiar with R, you can use "A work-book
introduction to basic R" by Micheal Hills:
and click on the link "readme.fst" and follow the instructions.
- A slightly more advanced text is
A short introduction to R for
- Mailing list:
A mailing list for users of R in epidemiology has been set up.
Join the list and use it for getting help with your R-problems:
- Useful papers in pdf-format:
- Previous courses are here.
Last updated 21 August 2014, BxC