Corsican Summer School on Modern Methods in Biostatistics and Epidemiology 2017
Statistical methods and recent advances in statistical methods for excess risk analysis
Monday 3rdJuly to Friday 7th July 2017
The Corsican Summer School will take place from 3 July to 7 July 2017. Students stay on site and work hard during the day. They have some breaks to review course materials, catch up on emails. Theoretical parts alternate with computer and practical sessions.
As part of the HEAR+STAT series of courses organised by the research unit SESSTIM, the Challenges in the Estimation of Net SURvival (CENSUR) working survival Group offers an advanced course on statistical methods for excess risk analysis.
The city of Corte, Corsica, France, will be hosting the international course “Statistical methods and recent advances in statistical methods for excess risk analysis”. Corte has a pleasant and convivial atmosphere, at the foot of the Corsican mountains, with beautiful natural swimming pool carved in rocks, not far from the sea. This will make it an excellent meeting point for researchers to exchange theory, methods and applications of statistical methods and advanced methods in health research and practice.
This intensive course covers the field of net survival and excess mortality, investigating both theoretical and application aspects using R software. The Course is intended for biostatisticians, statisticians, epidemiologists; researchers and students; those working in a registry of cancer, of chronic disease or in any other field relevant to these methodologies and applications.
Registration includes access to the 5 days of the course, morning and afternoon tea breaks, daily lunch breaks on each day and invitation to the course reception on the evening of Thursday 6th July.
Please note that participants have to book their hotel themselves, since the registration fees exclude travel and accommodation costs.
Prices in EUR, incl. VAT Early bird, until 31 May 2017 From 01 June 2017* Participant** 300 € 400 € Course reception*** Free Free
The deadline for registration is 10 June 2017.**
For the INSERM members, or members of a team labelled by INSERM, order forms must be sent to the “Délégation Régionale de l’INSERM PACA”, to the attention of Mme Laurence Guitton (18, avenue Mozart, 13276 Marseille Cedex 9 or by email: email@example.com).***
The course reception (dinner with Corsican songs) is free of charge but you must register. See below for register.
Method of payment
- Online registration
- Indications: indicate “MRS HEAR+STAT 2017” for the field “Intitulé colloque/formation”
- Help file for information for online registration (in English)
- Website for online registration
- Order form (for French participants)
Course reception registration
Please download the course reception registration form, fill out the form one for each participant, and then send it by email to Mrs Daffri at: firstname.lastname@example.org, with the subject: “MRS HEAR+STAT 2017”.
Cancellation reception registration
- In case of cancellation of participation until 31st May 2017 the registration fee will be refunded.
- After 01 June 2017 there will be no refund whatsoever.
- Cancellations must be communicated in written form.
Theme of the course and objectives
Net survival, the survival related to excess mortality hazard, is the survival probability that would be observed in a hypothetical world where the disease of interest would be the only possible cause of death. The statistical methods for excess risk analysis have been developed to analyse data from population-based cancer registries, providing useful indicators to study socioeconomic inequalities in cancer survival, and for public health decision making.
The complexity of the research questions and of the data, the necessity to have more adequate tolls, to improve the quality and the comparability of cancer survival data, and to promote methodological transfers in areas of emerging interest constitute some methodological challenges.
The course will focus on:
- Recent advances in statistical methods for excess risk analysis in order to propose a common methodology that makes unbiased cross-national comparisons of cancer survival feasible
- Transfer of methods for net survival estimations to some other specific applications (clinical research, occupational epidemiology)
The course will be taught by international researchers highly skilled in biostatistics, methodology, and epidemiology from France, United-Kingdom, Slovenia, and Canada, from different research departments and implied in French (FRANCIM) and European (EUROCARE) networks of cancer registries.
The main objectives of the course are:
- To disseminate the concepts, methods and the more recent statistical tools to analyze net survival and excess mortality
- To enrich a network of researchers interested in survival analysis associating biostatisticians, methodologists, and epidemiologists
- To offer an informal and user-friendly setting of scientific exchanges in order to improve knowledge and practical skills to estimate, model, program, analyse and interpret results of excess risk analysis
The scientific programme has been designed to meet the double objective of acquiring knowledge and skills in order to estimate, model, program using R software, analyse and interpret results of excess risk analysis.
Themes of the course:
- Goals, epistemological aspects
- Non-parametric estimators of net survival
- Parametric models for excess mortality
- Flexible parametric models for excess mortality
- Handling missing data
- Diagnostic tools and modeling strategy
- Frailty models
- Multiple events analysis
- Handling expected rates tables (without, with missing information) and extensions to other fields: clinical research, epidemiology of occupational health
An international faculty composed of international researchers highly skilled in biostatistics, methodology, and epidemiology from France, United-Kingdom, Slovenia, and Canada, from different research departments and implied in French (FRANCIM) and European (EUROCARE) networks of cancer registries.
Marc ColonnaRegistre des cancers de l’Isère, Grenoble, France
Pascale GrosclaudeRegistre des cancers du Tarn-INSERM UMR1027, Toulouse, France
Who should attend ?
Biostatisticians, statisticians, epidemiologists; researchers and students; working in a registry of cancer, of chronic disease or in any other field relevant to these methodologies and applications.
French National and international audience.
The number of participants is limited to 40 persons.
Course will be taught in English. All instruction and course materials will be in English too.
Almost half of the course will be devoted to practical applications. Therefore, the applicants will have the opportunity to apply the methods described in the course using real data.
Computing sessions will be organised using R software. These sessions will be the opportunity for participants and for the faculty to bring them together to have exiting knowledge exchange.
Computers will be provided (Windows). Participants can use our computers or bring their own laptop computers.
Previous experience of using R software is a pre-requisite.
The course will be held at the Université de Corse Pascal Paoli, at the campus Grimaldi, in Corte, Corsica, France. Theoretical parts will be in the amphitheatre Jean Nicoli, and practical parts using R software will be in the computing rooms.
Getting to Corsica
Getting to Corte
Course participants are responsible for booking their room directly with the hotels. After registering for the course, please book your hotel as soon as possible. Please take note of the terms and conditions of the chosen hotel (especially in case of a cancellation).
However, in order to minimize distances between the location of the course and your accommodation, we recommend to book rooms on the Grimaldi campus. The price is 32 euros per person per night. The sheets and towels are provided and the rooms include private bathroom and cooking facilities.
If you want to book a room there or if you need further informations, please contact Mrs. Olga Loverini by email (email@example.com).
CALANQUES DE PIANA
Scientific programme committee
Roch Giorgi (UMR 912 SESSTIM; France); Nadine Bossard (Hospices Civiles de Lyon-UMR 5588; France); Roberta De Angelis (EUROCARE, Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute, Istituto Superiore di Sanità; Italy); Pascale Grosclaude (FRANCIM, registre des cancers du Tarn; France); Guy Hédelin (Institut National de Recherche et de Sécurité; France); Bernard Rachet (London School of Hygiene and Tropical Medicine, Department of Non-communicable Disease Epidemiology; Angleterre); Janez Stare (Institute for Biostatistics and Medical Informatics; Slovenie).
Lamia Daffri: firstname.lastname@example.org