Cancer Survival: Principles, Methods and Applications, Short Course

  • N/A
    Application Deadline
  • 5 days
    Duration
  • Tuition
    1280
    Tuition (Module)
    1280
    Tuition (Module)
  • English (take IELTS)
    Language
,
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.
  • Overview
  • Programme outline
  • Key facts
  • Admission requirements
  • Fees and funding

About

London School of Hygiene & Tropical Medicine in collaboration with the International Agency for Research on Cancer (IARC)

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 recent methodological developments (e.g. net survival) 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.

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 population "cure"
  • multi-variable modelling of relative survival and comparison with Cox and Poisson approaches

Accreditation

30 Continuing Professional Development (CPD) credits have been awarded by the Royal College of Physicians for each course since 2009, and we expect the same approval for 2015.

Detailed Programme Facts

  • More details: Course Dates: 22 - 26 June 2015
  • Full-time duration 5 days
  • Study intensity Full-time
  • Languages
    • English
  • Delivery mode
    On Campus
  • Entry Level
    Bachelor

Programme Structure

Each participant will receive a certificate of attendance. There is no examination.

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
  • 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

Lecturers

Course Organisers

Professor Michel Coleman and Dr Bernard Rachet

The teaching faculty will include Dr Paul Dickman (Karolinska Institute, Stockholm, Sweden), 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.

Academic Requirements

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.

Entry Criteria

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.

Tuition Fee Per Module

  • GBP 1280 International
  • GBP 1280 EU/EEA

*£1,280 (£640 for participants based in low-, lower-, middle and upper middle income countries only).Payable by: 8 June 2015.

Funding

We are seeking funding to enable fellowships to be offered to participants based in developing countries. Availability of fellowships cannot be guaranteed.

If you are independently seeking sponsorship, you could try UICC, Cancer Research UK, The Royal Society, the Wellcome Trust, the British Academy or the British Council, amongst others.

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.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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