Methods and Applications for Population Based Survival Workshop

Population-based survival estimated from cancer registry data differs in several important ways from survival derived in clinical trial settings. In a clinical trial there is a detailed review of the medical record to ascertain the cause of death, whereas in population-based registry settings one must depend on death certificates which have inherent inaccuracies as well as missing data. There are several measures of cancer survival that can be estimated from cancer registry data (e.g. crude vs. net) depending on the question of interest.

The National Cancer Institute (NCI), the University of Roma Tor VergataExternal Website Policy, and the Institute of Research on Population & Social Policies (IRPPS) co-sponsored a workshop, Methods and Applications for Population Based Survival, September 20 - 21, 2010, in Villa Mondragone, Italy. The objective of the meeting was to provide a forum for the exchange and discussion of innovative methods for the estimation of population based cancer survival between Europe and the U.S. The meeting was divided in three broad sessions with invited presentations from leaders in the field.

Note: If you are intested in receiving the slides from a specific presentation, please e-mail your request to srp@imsweb.com.

Session I - Producing Cancer Survival Statistics that are Relevant for Clinicians and Patients

"Communications in Personal Risk"
- Timo Hakulinen (Finnish Cancer Registry, Helsinki, Finland)

"Estimating Crude and Net Mortality in the Framework of Relative Survival"
- Paul Lambert (University of Leicester, Dept. of Health Sciences, Leicester, UK)

"Comorbidity-Adjusted Life Tables and Health-Adjusted Age: Assessing Other Causes Survival in Cancer Patients"
- Angela Mariotto (National Cancer Institute, Bethesda, USA)

"The Cancer Survival Query System (CSQS): Making Survival Estimates from Population-Based Cancer Registries More Timely and Relevant for Recently Diagnosed Patients"
- Eric J. (Rocky) Feuer (National Cancer Institute, Statistical Research and Applications Branch, Bethesda, USA)

"Applying Competing Risk Model to Registry Data"
- Minjung Lee (National Cancer Institute, Rockville, USA)

Session II - Estimating, Presenting and Interpreting Cancer Survival Trends

"Which Measures Are Available and How Do We Estimate Them? (Part 1)"
- Paul Dickman (Karolinska Institutet, Dept. of Medical Epidemiology and Biostatistics, Stockholm, Sweden) and Paul Lambert (University of Leicester, Dept. of Health Sciences, Leicester, UK)

"Up-to-Date Estimates and Projections of Cancer Survival Using Period and Other Methods"
- Hermann Brenner (German Cancer Research Center, Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany)

"Simulation Modeling to Interpret Trends in Disease-Specific Mortality"
- Ruth Etzioni (Fred Hutchinson Cancer Research Centre, Division of Public Health Sciences, Seattle, USA)

"Survival Improvement in the FOBT Trials Because of Within-Stage Shift"
- Iris Lansdorp-Vogelaar (Erasmus Medical Centre, Department of Public Health, Rotterdam, The Netherlands)

Session III - Improving Estimates of Net Survival Using Cancer Registry Data

"Which Measures Are Available and How Do We Estimate Them? (Part 2)"
- Paul Dickman (Karolinska Institutet, Dept. of Medical Epidemiology and Biostatistics, Stockholm, Sweden) and Paul Lambert (University of Leicester, Dept. of Health Sciences, Leicester, UK)

"Computing Relative Survival and Estimating Net Survival: What Are the Routinely Used Methods Doing?"
- Jacques Estève (UCLB/HCL, Dept. of Biostatistics, Lyon, France)

"Improved Life Tables (by Geograph, SES, Comorbidity)"
- Michael Coleman (London School of Hygiene and Tropical Medicine, Department of Non-Communicable Disease Epidemiology, London, UK, and Bernard Rachet, London School of Hygiene and Tropical Medicine, Dept. of Epidemiology and Population Health, London, UK)

"Cause-Specific Survival"
- Nadia Howlader (Surveillance Research Program, National Cancer Institute, Rockville, USA)

"Using Left Truncation Models to Estimate Life Tables for Cancer Patients"
- Hyunsoon Cho (National Cancer Institute, Bethesda, USA)

"Estimation Methods for Relative Survival: Presentation and Perspective of the MEASURE Project"
- Roch Giorgi (LERTIM, Marseille, France)

Scientific Committee

  • Kathy Cronin - National Cancer Institute (USA)
  • Eric J. Feuer - National Cancer Institute (USA)
  • Angela Mariotto - National Cancer Institute (USA)

Organizing Committee

  • Silvia Francisci - Istituto Superiore di Sanità (Italy)
  • Anna Gigli - Institute of Research on Population and Social Policies, National Research Council (Italy)
  • Angela Mariotto - National Cancer Institute (USA)
  • Maura Mezzetti - Università "Tor Vergata", Rome (Italy)
  • Robin Yabroff - National Cancer Institute (USA)
Last Updated: 23 Oct, 2019