Statistical methods in epidemiology – beyond the Cox model

September 24-27 2018, at Haga Forum, Stockholm, Sweden

Early Bird Registration Discount.

If you register by July 15, you will get 1000 SEK discount.

SDS biostatistics are pleased to announce a stimulating and intensive 4 day course on the principles, methods and application of statistical methods in observational epidemiology. The course will be taught by a highly experienced faculty and cover both central and advanced statistical concepts in epidemiology and real world evidence studies. The teaching format will include lectures, computer practicals and group discussions and many applications will be presented to emphasise the practical use of the methods. Examples will primarily be in cancer epidemiology (specifically in cancer patient survival) but we encourage people with interest in other areas and diseases to also attend since the methods covered in this course are by no means limited to cancer epidemiology.

For more information about the Programme, click here.

Paul Dickman, Karolinska Institutet, Sweden
Paul Lambert, University of Leicester, England and Karolinska Institutet, Sweden
Sandra Eloranta, Karolinska Institutet, Sweden
Michael Crowther, University of Leicester, England
Mark Rutherford, University of Leicester, England
Anna Johansson, Karolinska Institutet, Sweden
Therese Andersson, Karolinska Institutet, Sweden

Date and Location
24-27 September, at Haga Forum, Stockholm, Sweden. See “about the venue” for further information.

The course will start if we have enough participants. Final information will be given by the mid of August.

Course language
The course language will be English. All instruction and course materials will be in English.

Who should attend:
Epidemiologists, statisticians, physicians and oncologists, public health specialists, RWE data analysts, and others with a direct interest in statistical methods in observational studies and epidemiology. Applicants are expected to have a basic understanding of statistics and epidemiology. The course will include discussion of some advanced statistical methods but the faculty will emphasise the principles and application rather than the mathematical details.

Course fee
The course fee is SEK 13 000:- plus value added tax (Swedish mervärdesskatt, see below) and includes printed course materials, lunch, and tea/coffee during the morning and afternoon breaks. The course fee does not include travel or accommodation. As of April 2018 2015, SEK 13 000 was approximately EUR 1 250.
Value added tax (Swedish mervärdesskatt), which is 25% of the course fee, will be added to the invoice amount.

We are not able to offer any scholarships or reduced fees for students or academics. Participants interested in fellowships are encouraged to apply to local funding bodies.

How to register
Please fill in the registration form here. Questions about the registration can be sent to

The course will include practical exercises using the Stata software. We are unable to provide laptop computers so participants are expected to bring a laptop with them for use during the course. Stata teaching licences will be made available for participants who do not already have Stata installed. The course is designed to be accessible to participants without previous experience of using Stata. The faculty is also willing to assist participants who wish to work with other software, such as R or SAS, with the reservation that 1) not all of the methods described in the course can be applied in these and 2) we do not have the same level of expertise in other packages as we do in Stata. The computing sessions are also intended as a forum for participants to talk to the faculty about aspects of particular interest to them; six faculty members will be in attendance during each session which will make individual instruction possible.

Course certificate and assessment
Each participant will receive a certificate of attendance. There is no formal examination. The course is not an official university course and successful completion of the course does not automatically entitle academic credits although registered students may be able to apply to their university for formal credit.

Travel and accommodation
The course organisers cannot organise travel or provide accommodation for participants. A list of accommodation in the vicinity of the course venue can be found here. Participants from outside Sweden are responsible for obtaining any necessary visas or other permits required to enter Sweden.