Cancer Survival: Principles, Methods and Applications

London School of Hygiene and Tropical Medicine

Course

In London

£ 1,560 VAT inc.

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Description

  • Type

    Course

  • Level

    Intermediate

  • Location

    London

  • Duration

    Flexible

  • Start date

    Different dates available

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 exercises with real data, review sessions and a session for participants to present their own work or ideas.

Net survival will be the main approach to analysis, with 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.

Faculty
The faculty will include internationally renowned experts in the field of cancer survival analysis and methods, and 20 researchers in the Cancer Survival Group. External faculty members will include:

Prof Paul Dickman, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Dr Maja Pohar Perme, Institute of Biostatistics and Medical Informatics, University of Ljubljana, Slovenia
Prof Jacques Estève, Professor Emeritus, Lyon-Sud University, Lyon, France

Facilities

Location

Start date

London
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Start date

Different dates availableEnrolment now open

About this course

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 should have a basic understanding of cancer survival analysis, since this course will include discussion of advanced statistical methods and practical computing, as well as 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 to take full advantage of the statistical components of the course. All practical sessions will use Stata, so some experience should be considered essential.

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 2019.

Participants will receive a certificate of attendance. There is no examination.

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Subjects

  • Interpretation
  • Medical
  • Medical training
  • Statistical
  • Population
  • Analysis
  • Cancer Survival
  • Environment
  • Learning
  • Intensive
  • Controversies

Course programme

Aims and objectives

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

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
  • net survival estimation, including cohort, complete, period and hybrid approaches
  • adjustment of cancer survival estimates 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

See related categories

Cancer Survival: Principles, Methods and Applications

£ 1,560 VAT inc.

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