Cancer survival: principles, methods and analysis short course
27 June – 1 July 2011
London School of Hygiene and Tropical Medicine
in collaboration with the International Agency for
Research on Cancer (IARC)
Course organisers: Professor Michel Coleman and Dr Bernard Rachet
Course administrator: Ms Yuki Alencar
Programme available: 2011_programme (PDF 0.51 MB)
A highly experienced faculty will present a stimulating and intensive one-week course on the principles, methods and applications of cancer survival with population-based data, using lectures, computer-based analytic exercises with real data, review sessions and a session for participants to present their own work or ideas. Relative survival will be the main approach to analysis, with discussion of some recent methodological developments and results.
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.
The aims of the course are:
- to teach the main statistical methods for population-based cancer survival analysis
- to discuss the main controversies in estimation and interpretation of cancer survival statistics
- to provide students with an intensive learning environment in which most faculty members will attend all sessions of the course, not just their own
- to provide opportunities for computer-based practical analysis of real cancer data
Methods covered include:
- population measures of cancer burden (incidence, prevalence, mortality, survival)
- all-cause (crude), net and relative survival and excess mortality hazard
- construction of abridged and complete life tables
- relative survival analysis, including cohort, complete, period and hybrid approaches
- multi-adjustment of cancer survival for age, stage and other factors
- impact of data quality, completeness, stage migration, screening and lead-time bias
- methods of handling missing data in cancer survival analysis
- avoidable deaths and statistical "cure"
- multi-variable modelling relative survival and comparison with Cox and Poisson approaches
Professor Michel Coleman and Dr Bernard Rachet
The teaching faculty will include Dr Paul Dickman (Karolinska Institute, Stockholm, Sweden), Dr Claudia Allemani (Istituto Nazionale dei Tumori, Milan, Italy), Dr Freddie Bray (International Agency for Research on Cancer, Lyon, France), Dr Manar Abdel-Rahman (University of Khartoum, Sudan), Dr Yuri Ito (Osaka Medical Centre for Cancer and Cardiovascular Diseases, Osaka, Japan) and researchers in the Cancer Research UK Cancer Survival Group at the London School of Hygiene & Tropical Medicine.
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.
Applicants must have a basic understanding of cancer survival analysis, since this course will include discussion of advanced statistical methods and practical computing, in addition to discussion of the public health applications of cancer survival data. We do not insist that participants have a qualification in statistics, but some experience is essential in order to take full advantage of the statistical components of the course. All practical sessions will use STATA, therefore some experience with STATA software should be considered essential. The applied public health elements of the course will be accessible and relevant to all groups.
COURSE CERTIFICATE AND ASSESSMENT
Each participant will receive a certificate of attendance. There is no formal examination.
The fee for the whole week is £1010 which includes course materials, lunch on the first and last days and tea/coffee at each break. This fee does not include travel or accommodation. The course is for a whole week; daily rates are not available.
Discounted fees are available as follows:
- Staff employed by member cancer registries of UKACR are entitled to a 20% reduction at £810; to qualify for this discount you must submit with your application a supporting letter from your registry director, confirming your status.
- Participants based in low-, lower-middle and upper-middle income countries are entitled to a special discounted fee of £500. Appropriate supporting documentation must be submitted in order to confirm eligibility. A list of eligible countries can be found here.
A formal letter confirming sponsorship must be received (or the course fee fully paid) by 6 June 2011.
TRAVEL AND ACCOMMODATION
The School cannot organise travel or provide accommodation for participants. A list of hotels and other accommodation in the vicinity of the School can be provided on request to Registry.
SPONSORSHIP AND FUNDING
We are seeking funding to enable fellowships to be offered to participants based in developing countries, but the availability of fellowships cannot be guaranteed.
If you are independently seeking sponsorship, you could try Cancer Research UK, The Royal Society, The Wellcome Trust, The British Academy or the British Council, amongst others. Those working in cancer registries overseas should look at the International Association of Cancer Registries fellowship information on the IACR website.
You are also encouraged to apply for a place on the course as early as possible. For those who have been accepted on the course, confirmation of acceptance can be supplied. Further enquiries should be made to the course administrator.
30 Continuing Professional Development (CPD) credits were awarded by the Royal College of Physicians for the courses in 2009 and 2010, and accreditation is being sought for 2011.
FURTHER INFORMATION AND APPLICATIONS
For further information please e-mail firstname.lastname@example.org
Applications can now be made on-line, please click here to be redirected to the application system.
Alternatively application forms can be downloaded from the links below and submitted by e-mail to the short courses administrator in the Registry (email@example.com):
2011 application form (pdf)
2011 application form (Word)