Overview
| The course runs from 13 - 17 July 2026. |
This short course is run by the School's Cancer Survival Group.
A highly experienced international faculty will present a stimulating and intensive one-week course on the principles, methods and applications of cancer survival estimated with population-based cancer registry data. You will enjoy lectures and discussions, daily review sessions, a session for participants to present their own work or ideas for debate, and hands-on computer exercises with completely anonymised data sets, in which all the dates have also been randomly changed from the original. You will be provided with digital or printed copies of all lectures, practical exercises and solutions. For computer-based exercises, you will be expected to use your own laptop.
Net survival will be the main approach to analysis, with a discussion of recent methodological developments. The methodological concepts of cancer survival will be illustrated by public health and policy applications throughout the week. Results from recent survival studies will be presented and their interpretation discussed.
Accreditation
The Royal College of Physicians has awarded 32 Continuing Professional Development (CPD) credits for the July 2026 running of the course.
Faculty
Lectures and discussions will be led by an expert faculty from the Cancer Survival Group at the London School of Hygiene & Tropical Medicine (LSHTM), joined by Professor Paul Dickman from the Karolinska Institutet, Sweden, and Professor Maja Pohar Perme from the University of Ljubljana, Slovenia.
Who should apply?
Epidemiologists, statisticians, physicians and oncologists, public health specialists and others with a direct interest in applied cancer survival analysis, and particularly those working in a cancer registry.
You should have a basic understanding of cancer survival analysis, since this course will include a discussion of advanced statistical methods and practical computing, as well as a discussion of the public health applications of cancer survival data.
We do not insist that you have a qualification in statistics, but some experience is essential for you to take full advantage of the statistical components of the course. All practical sessions will use Stata, so some experience with Stata would be advisable. Free online video tutorials are available on the Stata website to introduce the basic functionality.
The applied public health elements of the course will be accessible and relevant to all groups.