Medical events Cancer survival : principles, methods and applications

Cancer survival : principles, methods and applications

4. Course : "Cancer survival : principles, methods and applications"
April 3 - 7, 2006, London, UK

  • Romanian participants : Economist Victoria Iancu
  • Programme

Monday, April 3, 2006
09:15 - 10:00 Michel Coleman Introduction and logistics
10:00 - 10:30 David Forman Session 1 Survival research and cancer policy - 1
11:00 - 12:30 Michel Coleman Session 2 Population - based measures of cancer burden: incidence, prevalence, mortality and survival
13:30 - 15:00 Guy Hédelin Session 3 Crude, net and relative survival
15:30 - 17:00 Arduino Verdecchia Session 4 Stage migration, screening and lead - time bias, multiple primaries : impact on survival
17:00 - 17:30 All students and faculty Session 5 Review 1
Tuesday, April 4, 2006
09:30 - 10:30 Laura Woods Session 6 Life tables and measures of socio - economic status
11:00 - 12:30 Hermann Brenner Session 7 Period survival analysis and "prediction" of survival
14:00 - 15:30 Student groups with faculty Session 8 Practical 1 - Relative survival analysis
16:00 - 17:00 Timo Hakulinen Session 9 Secondary measures of outcome: person - years of life lost, avoidable deaths, "cure"
17:00 - 17:30 All students and faculty Session 10 Review 2
Wednewsday, April 5, 2006
09:30 - 10:30 Paul Dickman Session 11 Modelling relative survival with co - variates - 1
11:00 - 12:30 Guy Hédelin Session 12 Modelling relative survival with co - variates - 2
14:00 - 15:30 Student groups with faculty Session 13 Practical 2 - Modelling relative survival
16:00 - 17:00 Franco Berrino Session 14 International comparisons of cancer survival
17:00 - 17:30 All students and faculty Session 15 Review 3
Thursday, April 6, 2006
09:00 - 11:00 Arduino Verdecchia (90')
Paul Lambert (30')
Session 16 Estimating "cure" from cancer
11:30 - 12:30 Timo Hakulinen & Hermann Brenner Session 17 Statistical comparison of cancer survival estimates
13:30 - 15:00 Student groups and faculty Session 18 Practical 3 - Estimating "cure" from cancer
15:30 - 17:30 All students and faculty Session 19 Selected presentations from course participants
Vineri 7 Aprilie 2006
09:30 - 10:30 Bernard Rachet Session 20 Impact of data quality on the estimation of cancer survival
11:00 - 12:30 Nicky Best Session 21 Introduction to Bayesian methods for survival analysis and the study of geographical patterns of survival
13:30 - 15:00 Michel Coleman Session 22 Survival research and cancer policy - 2
15:30 - 17:00 All students and faculty Session 23 Review 4 - software, life tables, references