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Cancer Survival: Principles, Methods and Applications

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Cancer Survival: Principles, Methods and Applications Empty Cancer Survival: Principles, Methods and Applications

Δημοσίευση από emilia.exa Την / Το Τρι 16 Φεβ 2016 - 19:29

Cancer Survival: Principles, Methods and Applications

Course Dates: 27 June – 1 July 2016

This short course is being co-organised by the London School of Hygiene and Tropical Medicine and the Cancer Survival Group.
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.

Faculty Members

The faculty will include internationally renowned experts in the field of cancer survival analysis and methods, as well as researchers in the Cancer Research UK Cancer Survival Group at the School. External faculty members confirmed for 2016 include:
• Dr Paul Dickman, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm
• Dr Maja Pohar Perme, Institute of Biostatistics and Medical Informatics, University of Ljubljana
• Prof Jacques Estève, Professor Emeritus, Lyon-Sud University, Lyon, France

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 fee

The fee will include course materials, lunch on the first and last days of the course, 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:
• Participants who are based in low-, lower-middle and upper-middle income countries are entitled to a special discounted fee.  See the list of eligible countries.

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Join date : 13/06/2013

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